CINXE.COM

<!DOCTYPE html> <html lang="en" xmlns:fb="http://www.facebook.com/2008/fbml" class="wf-loading"> <head prefix="og: https://ogp.me/ns# fb: https://ogp.me/ns/fb# academia: https://ogp.me/ns/fb/academia#"> <meta charset="utf-8"> <meta name=viewport content="width=device-width, initial-scale=1"> <meta rel="search" type="application/opensearchdescription+xml" href="/open_search.xml" title="Academia.edu"> <title>Evdokimos Konstantinidis | Aristotle University - Academia.edu</title>  <link href="//a.academia-assets.com/images/favicons/favicon-production.ico" rel="shortcut icon" type="image/vnd.microsoft.icon"> <link rel="apple-touch-icon" sizes="57x57" href="//a.academia-assets.com/images/favicons/apple-touch-icon-57x57.png"> <link rel="apple-touch-icon" sizes="60x60" href="//a.academia-assets.com/images/favicons/apple-touch-icon-60x60.png"> <link rel="apple-touch-icon" sizes="72x72" href="//a.academia-assets.com/images/favicons/apple-touch-icon-72x72.png"> <link rel="apple-touch-icon" sizes="76x76" href="//a.academia-assets.com/images/favicons/apple-touch-icon-76x76.png"> <link rel="apple-touch-icon" sizes="114x114" href="//a.academia-assets.com/images/favicons/apple-touch-icon-114x114.png"> <link rel="apple-touch-icon" sizes="120x120" href="//a.academia-assets.com/images/favicons/apple-touch-icon-120x120.png"> <link rel="apple-touch-icon" sizes="144x144" href="//a.academia-assets.com/images/favicons/apple-touch-icon-144x144.png"> <link rel="apple-touch-icon" sizes="152x152" href="//a.academia-assets.com/images/favicons/apple-touch-icon-152x152.png"> <link rel="apple-touch-icon" sizes="180x180" href="//a.academia-assets.com/images/favicons/apple-touch-icon-180x180.png"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-32x32.png" sizes="32x32"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-194x194.png" sizes="194x194"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-96x96.png" sizes="96x96"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/android-chrome-192x192.png" sizes="192x192"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-16x16.png" sizes="16x16"> <link rel="manifest" href="//a.academia-assets.com/images/favicons/manifest.json"> <meta name="msapplication-TileColor" content="#2b5797"> <meta name="msapplication-TileImage" content="//a.academia-assets.com/images/favicons/mstile-144x144.png"> <meta name="theme-color" content="#ffffff"> <script> window.performance && window.performance.measure && window.performance.measure("Time To First Byte", "requestStart", "responseStart"); </script> <script> (function() { if (!window.URLSearchParams || !window.history || !window.history.replaceState) { return; } var searchParams = new URLSearchParams(window.location.search); var paramsToDelete = [ 'fs', 'sm', 'swp', 'iid', 'nbs', 'rcc', // related content category 'rcpos', // related content carousel position 'rcpg', // related carousel page 'rchid', // related content hit id 'f_ri', // research interest id, for SEO tracking 'f_fri', // featured research interest, for SEO tracking (param key without value) 'f_rid', // from research interest directory for SEO tracking 'f_loswp', // from research interest pills on LOSWP sidebar for SEO tracking 'rhid', // referrring hit id ]; if (paramsToDelete.every((key) => searchParams.get(key) === null)) { return; } paramsToDelete.forEach((key) => { searchParams.delete(key); }); var cleanUrl = new URL(window.location.href); cleanUrl.search = searchParams.toString(); history.replaceState({}, document.title, cleanUrl); })(); </script> <script async src="https://www.googletagmanager.com/gtag/js?id=G-5VKX33P2DS"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-5VKX33P2DS', { cookie_domain: 'academia.edu', send_page_view: false, }); gtag('event', 'page_view', { 'controller': "profiles/works", 'action': "summary", 'controller_action': 'profiles/works#summary', 'logged_in': 'false', 'edge': 'unknown', // Send nil if there is no A/B test bucket, in case some records get logged // with missing data - that way we can distinguish between the two cases. // ab_test_bucket should be of the form <ab_test_name>:<bucket> 'ab_test_bucket': null, }) </script> <script type="text/javascript"> window.sendUserTiming = function(timingName) { if (!(window.performance && window.performance.measure)) return; var entries = window.performance.getEntriesByName(timingName, "measure"); if (entries.length !== 1) return; var timingValue = Math.round(entries[0].duration); gtag('event', 'timing_complete', { name: timingName, value: timingValue, event_category: 'User-centric', }); }; window.sendUserTiming("Time To First Byte"); </script> <meta name="csrf-param" content="authenticity_token" /> <meta name="csrf-token" content="Hq4xL0Rs7M05C63DOWuSYHYitvqdcPqXlcK9Wswz4kqwxPSno4Iti9476pI5K/JbGQTZlcmXhFJ0CunEo7c7FQ==" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/wow-77f7b87cb1583fc59aa8f94756ebfe913345937eb932042b4077563bebb5fb4b.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/social/home-1c712297ae3ac71207193b1bae0ecf1aae125886850f62c9c0139dd867630797.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/heading-b2b823dd904da60a48fd1bfa1defd840610c2ff414d3f39ed3af46277ab8df3b.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/button-3cea6e0ad4715ed965c49bfb15dedfc632787b32ff6d8c3a474182b231146ab7.css" /><link crossorigin="" href="https://fonts.gstatic.com/" rel="preconnect" /><link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&family=Gupter:wght@400;500;700&family=IBM+Plex+Mono:wght@300;400&family=Material+Symbols+Outlined:opsz,wght,FILL,GRAD@20,400,0,0&display=swap" rel="stylesheet" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/common-10fa40af19d25203774df2d4a03b9b5771b45109c2304968038e88a81d1215c5.css" /> <meta name="author" content="evdokimos konstantinidis" /> <meta name="description" content="Evdokimos Konstantinidis, Aristotle University: 92 Followers, 60 Following, 65 Research papers. Research interests: Smart Homes, Exergames for Health and…" /> <meta name="google-site-verification" content="bKJMBZA7E43xhDOopFZkssMMkBRjvYERV-NaN4R6mrs" /> <script> var $controller_name = 'works'; var $action_name = "summary"; var $rails_env = 'production'; var $app_rev = '49879c2402910372f4abc62630a427bbe033d190'; var $domain = 'academia.edu'; var $app_host = "academia.edu"; var $asset_host = "academia-assets.com"; var $start_time = new Date().getTime(); var $recaptcha_key = "6LdxlRMTAAAAADnu_zyLhLg0YF9uACwz78shpjJB"; var $recaptcha_invisible_key = "6Lf3KHUUAAAAACggoMpmGJdQDtiyrjVlvGJ6BbAj"; var $disableClientRecordHit = false; </script> <script> window.Aedu = { hit_data: null }; window.Aedu.SiteStats = {"premium_universities_count":15276,"monthly_visitors":"113 million","monthly_visitor_count":113468711,"monthly_visitor_count_in_millions":113,"user_count":277159563,"paper_count":55203019,"paper_count_in_millions":55,"page_count":432000000,"page_count_in_millions":432,"pdf_count":16500000,"pdf_count_in_millions":16}; window.Aedu.serverRenderTime = new Date(1732450338000); window.Aedu.timeDifference = new Date().getTime() - 1732450338000; window.Aedu.isUsingCssV1 = false; window.Aedu.enableLocalization = true; window.Aedu.activateFullstory = false; window.Aedu.serviceAvailability = { status: {"attention_db":"on","bibliography_db":"on","contacts_db":"on","email_db":"on","indexability_db":"on","mentions_db":"on","news_db":"on","notifications_db":"on","offsite_mentions_db":"on","redshift":"on","redshift_exports_db":"on","related_works_db":"on","ring_db":"on","user_tests_db":"on"}, serviceEnabled: function(service) { return this.status[service] === "on"; }, readEnabled: function(service) { return this.serviceEnabled(service) || this.status[service] === "read_only"; }, }; window.Aedu.viewApmTrace = function() { // Check if x-apm-trace-id meta tag is set, and open the trace in APM // in a new window if it is. var apmTraceId = document.head.querySelector('meta[name="x-apm-trace-id"]'); if (apmTraceId) { var traceId = apmTraceId.content; // Use trace ID to construct URL, an example URL looks like: // https://app.datadoghq.com/apm/traces?query=trace_id%31298410148923562634 var apmUrl = 'https://app.datadoghq.com/apm/traces?query=trace_id%3A' + traceId; window.open(apmUrl, '_blank'); } }; </script>  <link href="https://fonts.googleapis.com/css?family=Roboto:100,100i,300,300i,400,400i,500,500i,700,700i,900,900i" rel="stylesheet"> <link href="//maxcdn.bootstrapcdn.com/font-awesome/4.3.0/css/font-awesome.min.css" rel="stylesheet"> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/libraries-a9675dcb01ec4ef6aa807ba772c7a5a00c1820d3ff661c1038a20f80d06bb4e4.css" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/academia-296162c7af6fd81dcdd76f1a94f1fad04fb5f647401337d136fe8b68742170b1.css" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system_legacy-056a9113b9a0f5343d013b29ee1929d5a18be35fdcdceb616600b4db8bd20054.css" /> <script src="//a.academia-assets.com/assets/webpack_bundles/runtime-bundle-005434038af4252ca37c527588411a3d6a0eabb5f727fac83f8bbe7fd88d93bb.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/webpack_libraries_and_infrequently_changed.wjs-bundle-8d53a22151f33ab413d88fa1c02f979c3f8706d470fc1bced09852c72a9f3454.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/core_webpack.wjs-bundle-f8fe82512740391f81c9e8cc48220144024b425b359b08194e316f4de070b9e8.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/sentry.wjs-bundle-5fe03fddca915c8ba0f7edbe64c194308e8ce5abaed7bffe1255ff37549c4808.js"></script> <script> jade = window.jade || {}; jade.helpers = window.$h; jade._ = window._; </script>  <script id="tag-manager-head-root">(function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start': new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0], j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src= 'https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f); })(window,document,'script','dataLayer_old','GTM-5G9JF7Z');</script>  <script> window.gptadslots = []; window.googletag = window.googletag || {}; window.googletag.cmd = window.googletag.cmd || []; </script> <script type="text/javascript"> // TODO(jacob): This should be defined, may be rare load order problem. // Checking if null is just a quick fix, will default to en if unset. // Better fix is to run this immedietely after I18n is set. if (window.I18n != null) { I18n.defaultLocale = "en"; I18n.locale = "en"; I18n.fallbacks = true; } </script> <link rel="canonical" href="https://authfdf.academia.edu/EvdokimosKonstantinidis" /> </head>   <body class='c-profiles/works a-summary logged_out'>  <div id="fb-root"></div><script>window.fbAsyncInit = function() { FB.init({ appId: "2369844204", version: "v8.0", status: true, cookie: true, xfbml: true }); // Additional initialization code. if (window.InitFacebook) { // facebook.ts already loaded, set it up. window.InitFacebook(); } else { // Set a flag for facebook.ts to find when it loads. window.academiaAuthReadyFacebook = true; } };</script><script>window.fbAsyncLoad = function() { // Protection against double calling of this function if (window.FB) { return; } (function(d, s, id){ var js, fjs = d.getElementsByTagName(s)[0]; if (d.getElementById(id)) {return;} js = d.createElement(s); js.id = id; js.src = "//connect.facebook.net/en_US/sdk.js"; fjs.parentNode.insertBefore(js, fjs); }(document, 'script', 'facebook-jssdk')); } if (!window.defer_facebook) { // Autoload if not deferred window.fbAsyncLoad(); } else { // Defer loading by 5 seconds setTimeout(function() { window.fbAsyncLoad(); }, 5000); }</script> <div id="google-root"></div><script>window.loadGoogle = function() { if (window.InitGoogle) { // google.ts already loaded, set it up. window.InitGoogle("331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b"); } else { // Set a flag for google.ts to use when it loads. window.GoogleClientID = "331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b"; } };</script><script>window.googleAsyncLoad = function() { // Protection against double calling of this function (function(d) { var js; var id = 'google-jssdk'; var ref = d.getElementsByTagName('script')[0]; if (d.getElementById(id)) { return; } js = d.createElement('script'); js.id = id; js.async = true; js.onload = loadGoogle; js.src = "https://accounts.google.com/gsi/client" ref.parentNode.insertBefore(js, ref); }(document)); } if (!window.defer_google) { // Autoload if not deferred window.googleAsyncLoad(); } else { // Defer loading by 5 seconds setTimeout(function() { window.googleAsyncLoad(); }, 5000); }</script> <div id="tag-manager-body-root">  <noscript><iframe src="https://www.googletagmanager.com/ns.html?id=GTM-5G9JF7Z" height="0" width="0" style="display:none;visibility:hidden"></iframe></noscript>   <script> window.addEventListener('load', function() { if (document.querySelector('input[name="commit"]')) { document.querySelector('input[name="commit"]').addEventListener('click', function() { gtag('event', 'click', { event_category: 'button', event_label: 'Log In' }) }) } }); </script> </div> <script>var _comscore = _comscore || []; _comscore.push({ c1: "2", c2: "26766707" }); (function() { var s = document.createElement("script"), el = document.getElementsByTagName("script")[0]; s.async = true; s.src = (document.location.protocol == "https:" ? "https://sb" : "http://b") + ".scorecardresearch.com/beacon.js"; el.parentNode.insertBefore(s, el); })();</script><img src="https://sb.scorecardresearch.com/p?c1=2&c2=26766707&cv=2.0&cj=1" style="position: absolute; visibility: hidden" /> <div id='react-modal'></div> <div class='DesignSystem'> <a class='u-showOnFocus' href='#site'> Skip to main content </a> </div> <div id="upgrade_ie_banner" style="display: none;"><p>Academia.edu no longer supports Internet Explorer.</p><p>To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to <a href="https://www.academia.edu/upgrade-browser">upgrade your browser</a>.</p></div><script>// Show this banner for all versions of IE if (!!window.MSInputMethodContext || /(MSIE)/.test(navigator.userAgent)) { document.getElementById('upgrade_ie_banner').style.display = 'block'; }</script> <div class="DesignSystem bootstrap ShrinkableNav"><div class="navbar navbar-default main-header"><div class="container-wrapper" id="main-header-container"><div class="container"><div class="navbar-header"><div class="nav-left-wrapper u-mt0x"><div class="nav-logo"><a data-main-header-link-target="logo_home" href="https://www.academia.edu/"><img class="visible-xs-inline-block" style="height: 24px;" alt="Academia.edu" src="//a.academia-assets.com/images/academia-logo-redesign-2015-A.svg" width="24" height="24" /><img width="145.2" height="18" class="hidden-xs" style="height: 24px;" alt="Academia.edu" src="//a.academia-assets.com/images/academia-logo-redesign-2015.svg" /></a></div><div class="nav-search"><div class="SiteSearch-wrapper select2-no-default-pills"><form class="js-SiteSearch-form DesignSystem" action="https://www.academia.edu/search" accept-charset="UTF-8" method="get"><input name="utf8" type="hidden" value="✓" autocomplete="off" /><i class="SiteSearch-icon fa fa-search u-fw700 u-positionAbsolute u-tcGrayDark"></i><input class="js-SiteSearch-form-input SiteSearch-form-input form-control" data-main-header-click-target="search_input" name="q" placeholder="Search" type="text" value="" /></form></div></div></div><div class="nav-right-wrapper pull-right"><ul class="NavLinks js-main-nav list-unstyled"><li class="NavLinks-link"><a class="js-header-login-url Button Button--inverseGray Button--sm u-mb4x" id="nav_log_in" rel="nofollow" href="https://www.academia.edu/login">Log In</a></li><li class="NavLinks-link u-p0x"><a class="Button Button--inverseGray Button--sm u-mb4x" rel="nofollow" href="https://www.academia.edu/signup">Sign Up</a></li></ul><button class="hidden-lg hidden-md hidden-sm u-ml4x navbar-toggle collapsed" data-target=".js-mobile-header-links" data-toggle="collapse" type="button"><span class="icon-bar"></span><span class="icon-bar"></span><span class="icon-bar"></span></button></div></div><div class="collapse navbar-collapse js-mobile-header-links"><ul class="nav navbar-nav"><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/login">Log In</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/signup">Sign Up</a></li><li class="u-borderColorGrayLight u-borderBottom1 js-mobile-nav-expand-trigger"><a href="#">more&nbsp<span class="caret"></span></a></li><li><ul class="js-mobile-nav-expand-section nav navbar-nav u-m0x collapse"><li class="u-borderColorGrayLight u-borderBottom1"><a rel="false" href="https://www.academia.edu/about">About</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/press">Press</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://medium.com/@academia">Blog</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="false" href="https://www.academia.edu/documents">Papers</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/terms">Terms</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/privacy">Privacy</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/copyright">Copyright</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/hiring"><i class="fa fa-briefcase"></i> We're Hiring!</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://support.academia.edu/"><i class="fa fa-question-circle"></i> Help Center</a></li><li class="js-mobile-nav-collapse-trigger u-borderColorGrayLight u-borderBottom1 dropup" style="display:none"><a href="#">less&nbsp<span class="caret"></span></a></li></ul></li></ul></div></div></div><script>(function(){ var $moreLink = $(".js-mobile-nav-expand-trigger"); var $lessLink = $(".js-mobile-nav-collapse-trigger"); var $section = $('.js-mobile-nav-expand-section'); $moreLink.click(function(ev){ ev.preventDefault(); $moreLink.hide(); $lessLink.show(); $section.collapse('show'); }); $lessLink.click(function(ev){ ev.preventDefault(); $moreLink.show(); $lessLink.hide(); $section.collapse('hide'); }); })() if ($a.is_logged_in() || false) { new Aedu.NavigationController({ el: '.js-main-nav', showHighlightedNotification: false }); } else { $(".js-header-login-url").attr("href", $a.loginUrlWithRedirect()); } Aedu.autocompleteSearch = new AutocompleteSearch({el: '.js-SiteSearch-form'});</script></div></div> <div id='site' class='fixed'> <div id="content" class="clearfix"> <script>document.addEventListener('DOMContentLoaded', function(){ var $dismissible = $(".dismissible_banner"); $dismissible.click(function(ev) { $dismissible.hide(); }); });</script> <script src="//a.academia-assets.com/assets/webpack_bundles/profile.wjs-bundle-9601d1cc3d68aa07c0a9901d03d3611aec04cc07d2a2039718ebef4ad4d148ca.js" defer="defer"></script><script>Aedu.rankings = { showPaperRankingsLink: false } $viewedUser = Aedu.User.set_viewed( {"id":3799322,"first_name":"Evdokimos","middle_initials":null,"last_name":"Konstantinidis","page_name":"EvdokimosKonstantinidis","domain_name":"authfdf","created_at":"2013-04-14T22:51:52.166-07:00","display_name":"Evdokimos Konstantinidis","url":"https://authfdf.academia.edu/EvdokimosKonstantinidis","photo":"https://0.academia-photos.com/3799322/1378517/8694893/s65_evdokimos.konstantinidis.jpg","has_photo":true,"department":{"id":509279,"name":"Medicine","url":"https://authfdf.academia.edu/Departments/Medicine/Documents","university":{"id":27750,"name":"Aristotle University","url":"https://authfdf.academia.edu/"}},"position":"Graduate Student","position_id":3,"is_analytics_public":false,"interests":[{"id":147477,"name":"Smart Homes","url":"https://www.academia.edu/Documents/in/Smart_Homes"},{"id":131844,"name":"Exergames for Health and Physical Activity","url":"https://www.academia.edu/Documents/in/Exergames_for_Health_and_Physical_Activity"},{"id":2605,"name":"Serious Games","url":"https://www.academia.edu/Documents/in/Serious_Games"},{"id":33733,"name":"Cognitive Aging","url":"https://www.academia.edu/Documents/in/Cognitive_Aging"}]} ); if ($a.is_logged_in() && $viewedUser.is_current_user()) { $('body').addClass('profile-viewed-by-owner'); } $socialProfiles = []</script><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://authfdf.academia.edu/EvdokimosKonstantinidis","location":"/EvdokimosKonstantinidis","scheme":"https","host":"authfdf.academia.edu","port":null,"pathname":"/EvdokimosKonstantinidis","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="ProfileCheckPaperUpdate" data-props="{}" data-trace="false" data-dom-id="ProfileCheckPaperUpdate-react-component-3942bfe9-20a3-41e3-9f2f-858f08e5fd87"></div> <div id="ProfileCheckPaperUpdate-react-component-3942bfe9-20a3-41e3-9f2f-858f08e5fd87"></div> <div class="DesignSystem"><div class="onsite-ping" id="onsite-ping"></div></div><div class="profile-user-info DesignSystem"><div class="social-profile-container"><div class="left-panel-container"><div class="user-info-component-wrapper"><div class="user-summary-cta-container"><div class="user-summary-container"><div class="social-profile-avatar-container"><img class="profile-avatar u-positionAbsolute" alt="Evdokimos Konstantinidis" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/3799322/1378517/8694893/s200_evdokimos.konstantinidis.jpg" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">Evdokimos Konstantinidis</h1><div class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://authfdf.academia.edu/">Aristotle University</a>, <a class="u-tcGrayDarker" href="https://authfdf.academia.edu/Departments/Medicine/Documents">Medicine</a>, <span class="u-tcGrayDarker">Graduate Student</span></div></div></div></div><div class="sidebar-cta-container"><button class="ds2-5-button hidden profile-cta-button grow js-profile-follow-button" data-broccoli-component="user-info.follow-button" data-click-track="profile-user-info-follow-button" data-follow-user-fname="Evdokimos" data-follow-user-id="3799322" data-follow-user-source="profile_button" data-has-google="false"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">add</span>Follow</button><button class="ds2-5-button hidden profile-cta-button grow js-profile-unfollow-button" data-broccoli-component="user-info.unfollow-button" data-click-track="profile-user-info-unfollow-button" data-unfollow-user-id="3799322"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">done</span>Following</button></div></div><div class="user-stats-container"><a><div class="stat-container js-profile-followers"><p class="label">Followers</p><p class="data">92</p></div></a><a><div class="stat-container js-profile-followees" data-broccoli-component="user-info.followees-count" data-click-track="profile-expand-user-info-following"><p class="label">Following</p><p class="data">60</p></div></a><a><div class="stat-container js-profile-coauthors" data-broccoli-component="user-info.coauthors-count" data-click-track="profile-expand-user-info-coauthors"><p class="label">Co-authors</p><p class="data">29</p></div></a><span><div class="stat-container"><p class="label"><span class="js-profile-total-view-text">Public Views</span></p><p class="data"><span class="js-profile-view-count"></span></p></div></span></div><div class="user-bio-container"><div class="profile-bio fake-truncate js-profile-about" style="margin: 0px;">Passionate for innovation<br /><div class="js-profile-less-about u-linkUnstyled u-tcGrayDarker u-textDecorationUnderline u-displayNone">less</div></div></div><div class="ri-section"><div class="ri-section-header"><span>Interests</span></div><div class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="3799322" href="https://www.academia.edu/Documents/in/Smart_Homes"><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://authfdf.academia.edu/EvdokimosKonstantinidis","location":"/EvdokimosKonstantinidis","scheme":"https","host":"authfdf.academia.edu","port":null,"pathname":"/EvdokimosKonstantinidis","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Smart Homes"]}" data-trace="false" data-dom-id="Pill-react-component-ed1344ae-e389-4aa3-99d3-9336e8ecb8b0"></div> <div id="Pill-react-component-ed1344ae-e389-4aa3-99d3-9336e8ecb8b0"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="3799322" href="https://www.academia.edu/Documents/in/Exergames_for_Health_and_Physical_Activity"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Exergames for Health and Physical Activity"]}" data-trace="false" data-dom-id="Pill-react-component-ebc03ff8-fe12-497f-9de3-0b462a4136a6"></div> <div id="Pill-react-component-ebc03ff8-fe12-497f-9de3-0b462a4136a6"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="3799322" href="https://www.academia.edu/Documents/in/Serious_Games"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Serious Games"]}" data-trace="false" data-dom-id="Pill-react-component-191f2316-ad0d-4e1f-970d-0ac3d1c79d56"></div> <div id="Pill-react-component-191f2316-ad0d-4e1f-970d-0ac3d1c79d56"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="3799322" href="https://www.academia.edu/Documents/in/Cognitive_Aging"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Cognitive Aging"]}" data-trace="false" data-dom-id="Pill-react-component-95c50e82-cb3a-44bf-84da-e7e73e792d11"></div> <div id="Pill-react-component-95c50e82-cb3a-44bf-84da-e7e73e792d11"></div> </a></div></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Evdokimos Konstantinidis</h3></div><div class="js-work-strip profile--work_container" data-work-id="30687826"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/30687826/Framework_of_a_Collaborative_Audio_Analysis_and_Visualization_tool_for_Data_Journalists"><img alt="Research paper thumbnail of Framework of a Collaborative Audio Analysis and Visualization tool for Data Journalists" class="work-thumbnail" src="https://attachments.academia-assets.com/51129708/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/30687826/Framework_of_a_Collaborative_Audio_Analysis_and_Visualization_tool_for_Data_Journalists">Framework of a Collaborative Audio Analysis and Visualization tool for Data Journalists</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/AndreasVeglis">Andreas Veglis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">— This paper describes the design and development of RecApp, a mobile application for visualizati...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">— This paper describes the design and development of RecApp, a mobile application for visualization and collaborative analysis of journalistic data from audio collections. We try to identify the challenges to support a team of journalists in understanding and analyzing mobile audio data constructing semantic networks from text by collaborative visualization approach.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="135b7d9d3c3996de1e942e12a9e1a07c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":51129708,"asset_id":30687826,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/51129708/download_file?st=MTczMjQ1MDMzNCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="30687826"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="30687826"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 30687826; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=30687826]").text(description); $(".js-view-count[data-work-id=30687826]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 30687826; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='30687826']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 30687826, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "135b7d9d3c3996de1e942e12a9e1a07c" } } $('.js-work-strip[data-work-id=30687826]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":30687826,"title":"Framework of a Collaborative Audio Analysis and Visualization tool for Data Journalists","translated_title":"","metadata":{"abstract":"— This paper describes the design and development of RecApp, a mobile application for visualization and collaborative analysis of journalistic data from audio collections. We try to identify the challenges to support a team of journalists in understanding and analyzing mobile audio data constructing semantic networks from text by collaborative visualization approach.","more_info":"11th International Workshop on Semantic and Social Media Adaptation and Personalization","conference_end_date":{"day":21,"month":10,"year":2016,"errors":{}},"conference_start_date":{"day":20,"month":10,"year":2016,"errors":{}}},"translated_abstract":"— This paper describes the design and development of RecApp, a mobile application for visualization and collaborative analysis of journalistic data from audio collections. We try to identify the challenges to support a team of journalists in understanding and analyzing mobile audio data constructing semantic networks from text by collaborative visualization approach.","internal_url":"https://www.academia.edu/30687826/Framework_of_a_Collaborative_Audio_Analysis_and_Visualization_tool_for_Data_Journalists","translated_internal_url":"","created_at":"2016-12-31T02:34:49.868-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":43515,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":26845103,"work_id":30687826,"tagging_user_id":43515,"tagged_user_id":28744506,"co_author_invite_id":null,"email":"s***d@auth.gr","display_order":1,"name":"Efstathios Sidiropoulos","title":"Framework of a Collaborative Audio Analysis and Visualization tool for Data Journalists"},{"id":26845104,"work_id":30687826,"tagging_user_id":43515,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":2,"name":"Evdokimos Konstantinidis","title":"Framework of a Collaborative Audio Analysis and Visualization tool for Data Journalists"}],"downloadable_attachments":[{"id":51129708,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/51129708/thumbnails/1.jpg","file_name":"38_Sidiropoulos_et_al_PID4491661.pdf","download_url":"https://www.academia.edu/attachments/51129708/download_file?st=MTczMjQ1MDMzNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Framework_of_a_Collaborative_Audio_Analy.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/51129708/38_Sidiropoulos_et_al_PID4491661-libre.pdf?1483180785=\u0026response-content-disposition=attachment%3B+filename%3DFramework_of_a_Collaborative_Audio_Analy.pdf\u0026Expires=1732453934\u0026Signature=YMgXszUJTpnBciwBbsn8k0TBYFBtknlDU8g80dXzfd6xwAnsIXyly7dSORquXnnoZmhic0Yy50wM7cvekJXKmJ9kot-ZB-whyQDHinztl0cqSklQ6u--Jxuv6xPTMdY-lua54HxxsZwSgidXUjJ7q8bEV9WGbgipeYplESv63aF~VKjDAtHodWBKpQ5UphlEwFG7vvIKJYs7Lwk4pskfl-5JgSIOafMtf8lB758Qvzu-dM5G5IlXEABsluhCxIgOyZ5tTTTQ4WpDApKgwPl2LwT-mfHcYMym3RTaVMXOdERsrg2AUXjf~BK~3eWcKSFZTDX36D3x1Ncg6AmdRp~JGw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Framework_of_a_Collaborative_Audio_Analysis_and_Visualization_tool_for_Data_Journalists","translated_slug":"","page_count":5,"language":"en","content_type":"Work","owner":{"id":43515,"first_name":"Andreas","middle_initials":null,"last_name":"Veglis","page_name":"AndreasVeglis","domain_name":"auth","created_at":"2009-05-15T09:32:58.879-07:00","display_name":"Andreas Veglis","url":"https://auth.academia.edu/AndreasVeglis"},"attachments":[{"id":51129708,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/51129708/thumbnails/1.jpg","file_name":"38_Sidiropoulos_et_al_PID4491661.pdf","download_url":"https://www.academia.edu/attachments/51129708/download_file?st=MTczMjQ1MDMzNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Framework_of_a_Collaborative_Audio_Analy.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/51129708/38_Sidiropoulos_et_al_PID4491661-libre.pdf?1483180785=\u0026response-content-disposition=attachment%3B+filename%3DFramework_of_a_Collaborative_Audio_Analy.pdf\u0026Expires=1732453934\u0026Signature=YMgXszUJTpnBciwBbsn8k0TBYFBtknlDU8g80dXzfd6xwAnsIXyly7dSORquXnnoZmhic0Yy50wM7cvekJXKmJ9kot-ZB-whyQDHinztl0cqSklQ6u--Jxuv6xPTMdY-lua54HxxsZwSgidXUjJ7q8bEV9WGbgipeYplESv63aF~VKjDAtHodWBKpQ5UphlEwFG7vvIKJYs7Lwk4pskfl-5JgSIOafMtf8lB758Qvzu-dM5G5IlXEABsluhCxIgOyZ5tTTTQ4WpDApKgwPl2LwT-mfHcYMym3RTaVMXOdERsrg2AUXjf~BK~3eWcKSFZTDX36D3x1Ncg6AmdRp~JGw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":859,"name":"Communication","url":"https://www.academia.edu/Documents/in/Communication"},{"id":994,"name":"Journalism","url":"https://www.academia.edu/Documents/in/Journalism"},{"id":1440,"name":"Visualization","url":"https://www.academia.edu/Documents/in/Visualization"},{"id":180881,"name":"Data Journalism","url":"https://www.academia.edu/Documents/in/Data_Journalism"},{"id":274096,"name":"Comunicación Audiovisual","url":"https://www.academia.edu/Documents/in/Comunicaci%C3%B3n_Audiovisual"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="26974646"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/26974646/Internet_of_things_for_an_age_friendly_healthcare"><img alt="Research paper thumbnail of Internet of things for an age-friendly healthcare" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/26974646/Internet_of_things_for_an_age_friendly_healthcare">Internet of things for an age-friendly healthcare</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/GiorgosBamparopoulos">Giorgos Bamparopoulos</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item"><span>Studies in health technology and informatics</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In healthcare applications a large cohort of recent implementations utilises IoT-oriented infrast...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In healthcare applications a large cohort of recent implementations utilises IoT-oriented infrastructures (XMPP) as well as smart mobile devices as communication gateways. IoT characteristi Communication/Connectivity, Pervasive Computing and Ambient Intelligence, are all highly related to Active and Healthy Aging environments. This paper presents a new idea, that of IoT enabled devices which are directly connected to the IoT (a glucose meter is used as an example herein), complying with the XMPP messaging protocol and the incorporation of a recently released Controller Application Communication (CAC) framework for distributed, cross-platform communication. A web based exergaming platform and a disease management tool, provide the vehicles for the demonstration of the feasibility and the successful implementation and integration of the aforementioned infrastructure.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="26974646"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="26974646"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 26974646; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=26974646]").text(description); $(".js-view-count[data-work-id=26974646]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 26974646; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='26974646']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 26974646, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=26974646]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":26974646,"title":"Internet of things for an age-friendly healthcare","translated_title":"","metadata":{"abstract":"In healthcare applications a large cohort of recent implementations utilises IoT-oriented infrastructures (XMPP) as well as smart mobile devices as communication gateways. IoT characteristi Communication/Connectivity, Pervasive Computing and Ambient Intelligence, are all highly related to Active and Healthy Aging environments. This paper presents a new idea, that of IoT enabled devices which are directly connected to the IoT (a glucose meter is used as an example herein), complying with the XMPP messaging protocol and the incorporation of a recently released Controller Application Communication (CAC) framework for distributed, cross-platform communication. A web based exergaming platform and a disease management tool, provide the vehicles for the demonstration of the feasibility and the successful implementation and integration of the aforementioned infrastructure.","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Studies in health technology and informatics"},"translated_abstract":"In healthcare applications a large cohort of recent implementations utilises IoT-oriented infrastructures (XMPP) as well as smart mobile devices as communication gateways. IoT characteristi Communication/Connectivity, Pervasive Computing and Ambient Intelligence, are all highly related to Active and Healthy Aging environments. This paper presents a new idea, that of IoT enabled devices which are directly connected to the IoT (a glucose meter is used as an example herein), complying with the XMPP messaging protocol and the incorporation of a recently released Controller Application Communication (CAC) framework for distributed, cross-platform communication. A web based exergaming platform and a disease management tool, provide the vehicles for the demonstration of the feasibility and the successful implementation and integration of the aforementioned infrastructure.","internal_url":"https://www.academia.edu/26974646/Internet_of_things_for_an_age_friendly_healthcare","translated_internal_url":"","created_at":"2016-07-14T00:52:27.521-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":31796155,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":22381008,"work_id":26974646,"tagging_user_id":31796155,"tagged_user_id":3806260,"co_author_invite_id":null,"email":"a***s@gmail.com","affiliation":"Aristotle University of Thessaloniki","display_order":0,"name":"Antonis Billis","title":"Internet of things for an age-friendly healthcare"},{"id":22381010,"work_id":26974646,"tagging_user_id":31796155,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":4194304,"name":"Evdokimos Konstantinidis","title":"Internet of things for an age-friendly healthcare"}],"downloadable_attachments":[],"slug":"Internet_of_things_for_an_age_friendly_healthcare","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":31796155,"first_name":"Giorgos","middle_initials":null,"last_name":"Bamparopoulos","page_name":"GiorgosBamparopoulos","domain_name":"auth","created_at":"2015-06-02T09:09:37.321-07:00","display_name":"Giorgos Bamparopoulos","url":"https://auth.academia.edu/GiorgosBamparopoulos"},"attachments":[],"research_interests":[{"id":59587,"name":"Library and Information Studies","url":"https://www.academia.edu/Documents/in/Library_and_Information_Studies"},{"id":410370,"name":"Public health systems and services research","url":"https://www.academia.edu/Documents/in/Public_health_systems_and_services_research-1"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="26974645"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/26974645/A_lightweight_framework_for_transparent_cross_platform_communication_of_controller_data_in_ambient_assisted_living_environments"><img alt="Research paper thumbnail of A lightweight framework for transparent cross platform communication of controller data in ambient assisted living environments" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/26974645/A_lightweight_framework_for_transparent_cross_platform_communication_of_controller_data_in_ambient_assisted_living_environments">A lightweight framework for transparent cross platform communication of controller data in ambient assisted living environments</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/GiorgosBamparopoulos">Giorgos Bamparopoulos</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item"><span>Information Sciences</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Elderly support ambient assisted living environments are focal in healthcare computing. ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Elderly support ambient assisted living environments are focal in healthcare computing. Critical to their implementation is transparent integration of diverse hardware and its ubiquitous communication with multiple software components. Modern controllers (Wii family, Microsoft Kinect, Neurosky Mindwave) are especially useful in elderly smart homes, being used, for healthcare monitoring and exercise gaming interventions. Presented herein is a novel Controller Application Communication (CAC) framework for cross device, application independent transmission of controller data to multiple software components. For the first time, a framework supports multiple modern controllers concurrently communicating with multiple, device naïve, requesting applications, utilizing standard, real time, internet communication technologies, as opposed to current practices which focus merely on one device. The framework consists of uniform schemas for encapsulating controllers’ data and of services necessary for communicating these data to the requesting software components. The framework’s architecture is based on distributed computing principles, delegating server duties to use-site gateways for reducing main server load. This framework was utilized in the USEFIL project for simultaneous use of multiple controllers and sensors by different software components of the platform. The framework’s design principles align with the Internet of Things (IoT) paradigm. Future work, enriching this framework, aims to facilitate a more diverse controller set, adhering to an IoT architecture implementation, as well as, allowing on-demand online data streaming, thereby enabling interested parties to test algorithms with data from ecologically valid environments.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="26974645"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="26974645"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 26974645; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=26974645]").text(description); $(".js-view-count[data-work-id=26974645]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 26974645; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='26974645']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 26974645, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=26974645]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":26974645,"title":"A lightweight framework for transparent cross platform communication of controller data in ambient assisted living environments","translated_title":"","metadata":{"abstract":"ABSTRACT Elderly support ambient assisted living environments are focal in healthcare computing. Critical to their implementation is transparent integration of diverse hardware and its ubiquitous communication with multiple software components. Modern controllers (Wii family, Microsoft Kinect, Neurosky Mindwave) are especially useful in elderly smart homes, being used, for healthcare monitoring and exercise gaming interventions. Presented herein is a novel Controller Application Communication (CAC) framework for cross device, application independent transmission of controller data to multiple software components. For the first time, a framework supports multiple modern controllers concurrently communicating with multiple, device naïve, requesting applications, utilizing standard, real time, internet communication technologies, as opposed to current practices which focus merely on one device. The framework consists of uniform schemas for encapsulating controllers’ data and of services necessary for communicating these data to the requesting software components. The framework’s architecture is based on distributed computing principles, delegating server duties to use-site gateways for reducing main server load. This framework was utilized in the USEFIL project for simultaneous use of multiple controllers and sensors by different software components of the platform. The framework’s design principles align with the Internet of Things (IoT) paradigm. Future work, enriching this framework, aims to facilitate a more diverse controller set, adhering to an IoT architecture implementation, as well as, allowing on-demand online data streaming, thereby enabling interested parties to test algorithms with data from ecologically valid environments.","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Information Sciences"},"translated_abstract":"ABSTRACT Elderly support ambient assisted living environments are focal in healthcare computing. Critical to their implementation is transparent integration of diverse hardware and its ubiquitous communication with multiple software components. Modern controllers (Wii family, Microsoft Kinect, Neurosky Mindwave) are especially useful in elderly smart homes, being used, for healthcare monitoring and exercise gaming interventions. Presented herein is a novel Controller Application Communication (CAC) framework for cross device, application independent transmission of controller data to multiple software components. For the first time, a framework supports multiple modern controllers concurrently communicating with multiple, device naïve, requesting applications, utilizing standard, real time, internet communication technologies, as opposed to current practices which focus merely on one device. The framework consists of uniform schemas for encapsulating controllers’ data and of services necessary for communicating these data to the requesting software components. The framework’s architecture is based on distributed computing principles, delegating server duties to use-site gateways for reducing main server load. This framework was utilized in the USEFIL project for simultaneous use of multiple controllers and sensors by different software components of the platform. The framework’s design principles align with the Internet of Things (IoT) paradigm. Future work, enriching this framework, aims to facilitate a more diverse controller set, adhering to an IoT architecture implementation, as well as, allowing on-demand online data streaming, thereby enabling interested parties to test algorithms with data from ecologically valid environments.","internal_url":"https://www.academia.edu/26974645/A_lightweight_framework_for_transparent_cross_platform_communication_of_controller_data_in_ambient_assisted_living_environments","translated_internal_url":"","created_at":"2016-07-14T00:52:27.387-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":31796155,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":22381006,"work_id":26974645,"tagging_user_id":31796155,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":0,"name":"Panagiotis Bamidis","title":"A lightweight framework for transparent cross platform communication of controller data in ambient assisted living environments"},{"id":22381007,"work_id":26974645,"tagging_user_id":31796155,"tagged_user_id":null,"co_author_invite_id":2535317,"email":"p***o@med.duth.gr","display_order":4194304,"name":"P. Antoniou","title":"A lightweight framework for transparent cross platform communication of controller data in ambient assisted living environments"},{"id":22381009,"work_id":26974645,"tagging_user_id":31796155,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":6291456,"name":"Evdokimos Konstantinidis","title":"A lightweight framework for transparent cross platform communication of controller data in ambient assisted living environments"}],"downloadable_attachments":[],"slug":"A_lightweight_framework_for_transparent_cross_platform_communication_of_controller_data_in_ambient_assisted_living_environments","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":31796155,"first_name":"Giorgos","middle_initials":null,"last_name":"Bamparopoulos","page_name":"GiorgosBamparopoulos","domain_name":"auth","created_at":"2015-06-02T09:09:37.321-07:00","display_name":"Giorgos Bamparopoulos","url":"https://auth.academia.edu/GiorgosBamparopoulos"},"attachments":[],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction"},{"id":80414,"name":"Mathematical Sciences","url":"https://www.academia.edu/Documents/in/Mathematical_Sciences"},{"id":1348058,"name":"Information Sciences","url":"https://www.academia.edu/Documents/in/Information_Sciences"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="26974647"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/26974647/Transfering_full_body_exergames_from_desktop_applications_to_mobile_devices_The_role_of_the_Internet_of_Things"><img alt="Research paper thumbnail of Transfering full body exergames from desktop applications to mobile devices: The role of the Internet of Things" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/26974647/Transfering_full_body_exergames_from_desktop_applications_to_mobile_devices_The_role_of_the_Internet_of_Things">Transfering full body exergames from desktop applications to mobile devices: The role of the Internet of Things</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/GiorgosBamparopoulos">Giorgos Bamparopoulos</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item"><span>2015 International Conference on Interactive Mobile Communication Technologies and Learning (IMCL)</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="26974647"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="26974647"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 26974647; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=26974647]").text(description); $(".js-view-count[data-work-id=26974647]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 26974647; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='26974647']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 26974647, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=26974647]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":26974647,"title":"Transfering full body exergames from desktop applications to mobile devices: The role of the Internet of Things","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"2015 International Conference on Interactive Mobile Communication Technologies and Learning (IMCL)"},"translated_abstract":null,"internal_url":"https://www.academia.edu/26974647/Transfering_full_body_exergames_from_desktop_applications_to_mobile_devices_The_role_of_the_Internet_of_Things","translated_internal_url":"","created_at":"2016-07-14T00:52:27.656-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":31796155,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":22381011,"work_id":26974647,"tagging_user_id":31796155,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":0,"name":"Evdokimos Konstantinidis","title":"Transfering full body exergames from desktop applications to mobile devices: The role of the Internet of Things"}],"downloadable_attachments":[],"slug":"Transfering_full_body_exergames_from_desktop_applications_to_mobile_devices_The_role_of_the_Internet_of_Things","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":31796155,"first_name":"Giorgos","middle_initials":null,"last_name":"Bamparopoulos","page_name":"GiorgosBamparopoulos","domain_name":"auth","created_at":"2015-06-02T09:09:37.321-07:00","display_name":"Giorgos Bamparopoulos","url":"https://auth.academia.edu/GiorgosBamparopoulos"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="26974648"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/26974648/Introducing_Neuroberry_a_platform_for_pervasive_EEG_signaling_in_the_IoT_domain"><img alt="Research paper thumbnail of Introducing Neuroberry, a platform for pervasive EEG signaling in the IoT domain" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/26974648/Introducing_Neuroberry_a_platform_for_pervasive_EEG_signaling_in_the_IoT_domain">Introducing Neuroberry, a platform for pervasive EEG signaling in the IoT domain</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/GiorgosBamparopoulos">Giorgos Bamparopoulos</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item"><span>Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies"</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="26974648"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="26974648"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 26974648; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=26974648]").text(description); $(".js-view-count[data-work-id=26974648]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 26974648; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='26974648']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 26974648, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=26974648]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":26974648,"title":"Introducing Neuroberry, a platform for pervasive EEG signaling in the IoT domain","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare - \"Transforming healthcare through innovations in mobile and wireless technologies\""},"translated_abstract":null,"internal_url":"https://www.academia.edu/26974648/Introducing_Neuroberry_a_platform_for_pervasive_EEG_signaling_in_the_IoT_domain","translated_internal_url":"","created_at":"2016-07-14T00:52:27.775-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":31796155,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":22381012,"work_id":26974648,"tagging_user_id":31796155,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":0,"name":"Evdokimos Konstantinidis","title":"Introducing Neuroberry, a platform for pervasive EEG signaling in the IoT domain"}],"downloadable_attachments":[],"slug":"Introducing_Neuroberry_a_platform_for_pervasive_EEG_signaling_in_the_IoT_domain","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":31796155,"first_name":"Giorgos","middle_initials":null,"last_name":"Bamparopoulos","page_name":"GiorgosBamparopoulos","domain_name":"auth","created_at":"2015-06-02T09:09:37.321-07:00","display_name":"Giorgos Bamparopoulos","url":"https://auth.academia.edu/GiorgosBamparopoulos"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="25322297"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/25322297/Integrating_the_USEFIL_Assisted_Living_Platform_Observation_from_the_Field"><img alt="Research paper thumbnail of Integrating the USEFIL Assisted Living Platform; Observation from the Field" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/25322297/Integrating_the_USEFIL_Assisted_Living_Platform_Observation_from_the_Field">Integrating the USEFIL Assisted Living Platform; Observation from the Field</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/AntonisBillis">Antonis Billis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item"><span>IFMBE Proceedings</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="25322297"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="25322297"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25322297; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=25322297]").text(description); $(".js-view-count[data-work-id=25322297]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 25322297; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='25322297']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 25322297, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=25322297]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":25322297,"title":"Integrating the USEFIL Assisted Living Platform; Observation from the Field","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"IFMBE Proceedings"},"translated_abstract":null,"internal_url":"https://www.academia.edu/25322297/Integrating_the_USEFIL_Assisted_Living_Platform_Observation_from_the_Field","translated_internal_url":"","created_at":"2016-05-14T06:49:09.578-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":3806260,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":20247292,"work_id":25322297,"tagging_user_id":3806260,"tagged_user_id":30149002,"co_author_invite_id":null,"email":"p***t@gmail.com","display_order":0,"name":"Panagiotis Antoniou","title":"Integrating the USEFIL Assisted Living Platform; Observation from the Field"},{"id":20247305,"work_id":25322297,"tagging_user_id":3806260,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":4194304,"name":"Evdokimos Konstantinidis","title":"Integrating the USEFIL Assisted Living Platform; Observation from the Field"},{"id":20247316,"work_id":25322297,"tagging_user_id":3806260,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":6291456,"name":"Panagiotis Bamidis","title":"Integrating the USEFIL Assisted Living Platform; Observation from the Field"}],"downloadable_attachments":[],"slug":"Integrating_the_USEFIL_Assisted_Living_Platform_Observation_from_the_Field","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":3806260,"first_name":"Antonis","middle_initials":null,"last_name":"Billis","page_name":"AntonisBillis","domain_name":"auth","created_at":"2013-04-15T08:24:11.104-07:00","display_name":"Antonis Billis","url":"https://auth.academia.edu/AntonisBillis"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="25322295"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/25322295/Affective_computing_on_elderly_physical_and_cognitive_training_within_live_social_networks"><img alt="Research paper thumbnail of Affective computing on elderly physical and cognitive training within live social networks" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/25322295/Affective_computing_on_elderly_physical_and_cognitive_training_within_live_social_networks">Affective computing on elderly physical and cognitive training within live social networks</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/AntonisBillis">Antonis Billis</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Emotions play a key role in the user experience, in serious games developed for educatio...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Emotions play a key role in the user experience, in serious games developed for education, training, assessment, therapy or rehabilitation. Moreover, social network features were recently coined in as key elements for computer based cognitive and physical interventions. In this paper, it is argued that Affective Computing principles may be exploited to increases the motivation of senior users for such computer based interventions. A case study with quantitative results is drawn from the European Commission funded Long Lasting Memories project. Emphasis is placed on how affection, system usability and acceptance might be related to social interaction. Results provide a first evidence that there is indeed a link between how well the intervention and the system is liked when users are placed in groups thereby forming live social networks. It is imperative that such findings could be taken under consideration upon new exergaming designs incorporating social networking capacities over the web.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="25322295"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="25322295"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25322295; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=25322295]").text(description); $(".js-view-count[data-work-id=25322295]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 25322295; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='25322295']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 25322295, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=25322295]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":25322295,"title":"Affective computing on elderly physical and cognitive training within live social networks","translated_title":"","metadata":{"abstract":"ABSTRACT Emotions play a key role in the user experience, in serious games developed for education, training, assessment, therapy or rehabilitation. Moreover, social network features were recently coined in as key elements for computer based cognitive and physical interventions. In this paper, it is argued that Affective Computing principles may be exploited to increases the motivation of senior users for such computer based interventions. A case study with quantitative results is drawn from the European Commission funded Long Lasting Memories project. Emphasis is placed on how affection, system usability and acceptance might be related to social interaction. Results provide a first evidence that there is indeed a link between how well the intervention and the system is liked when users are placed in groups thereby forming live social networks. It is imperative that such findings could be taken under consideration upon new exergaming designs incorporating social networking capacities over the web.","publication_date":{"day":null,"month":null,"year":2012,"errors":{}}},"translated_abstract":"ABSTRACT Emotions play a key role in the user experience, in serious games developed for education, training, assessment, therapy or rehabilitation. Moreover, social network features were recently coined in as key elements for computer based cognitive and physical interventions. In this paper, it is argued that Affective Computing principles may be exploited to increases the motivation of senior users for such computer based interventions. A case study with quantitative results is drawn from the European Commission funded Long Lasting Memories project. Emphasis is placed on how affection, system usability and acceptance might be related to social interaction. Results provide a first evidence that there is indeed a link between how well the intervention and the system is liked when users are placed in groups thereby forming live social networks. It is imperative that such findings could be taken under consideration upon new exergaming designs incorporating social networking capacities over the web.","internal_url":"https://www.academia.edu/25322295/Affective_computing_on_elderly_physical_and_cognitive_training_within_live_social_networks","translated_internal_url":"","created_at":"2016-05-14T06:49:08.751-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":3806260,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":20247304,"work_id":25322295,"tagging_user_id":3806260,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":0,"name":"Evdokimos Konstantinidis","title":"Affective computing on elderly physical and cognitive training within live social networks"},{"id":20247314,"work_id":25322295,"tagging_user_id":3806260,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":4194304,"name":"Panagiotis Bamidis","title":"Affective computing on elderly physical and cognitive training within live social networks"}],"downloadable_attachments":[],"slug":"Affective_computing_on_elderly_physical_and_cognitive_training_within_live_social_networks","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":3806260,"first_name":"Antonis","middle_initials":null,"last_name":"Billis","page_name":"AntonisBillis","domain_name":"auth","created_at":"2013-04-15T08:24:11.104-07:00","display_name":"Antonis Billis","url":"https://auth.academia.edu/AntonisBillis"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="25322298"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/25322298/Reviewing_Home_Based_Assistive_Technologies"><img alt="Research paper thumbnail of Reviewing Home Based Assistive Technologies" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/25322298/Reviewing_Home_Based_Assistive_Technologies">Reviewing Home Based Assistive Technologies</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/AntonisBillis">Antonis Billis</a></span></div><div class="wp-workCard_item"><span>Handbook of Research on Innovations in the Diagnosis and Treatment of Dementia</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="25322298"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="25322298"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25322298; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=25322298]").text(description); $(".js-view-count[data-work-id=25322298]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 25322298; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='25322298']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 25322298, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=25322298]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":25322298,"title":"Reviewing Home Based Assistive Technologies","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Handbook of Research on Innovations in the Diagnosis and Treatment of Dementia"},"translated_abstract":null,"internal_url":"https://www.academia.edu/25322298/Reviewing_Home_Based_Assistive_Technologies","translated_internal_url":"","created_at":"2016-05-14T06:49:09.697-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":3806260,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":20247306,"work_id":25322298,"tagging_user_id":3806260,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":0,"name":"Evdokimos Konstantinidis","title":"Reviewing Home Based Assistive Technologies"},{"id":20247317,"work_id":25322298,"tagging_user_id":3806260,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":4194304,"name":"Panagiotis Bamidis","title":"Reviewing Home Based Assistive Technologies"}],"downloadable_attachments":[],"slug":"Reviewing_Home_Based_Assistive_Technologies","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":3806260,"first_name":"Antonis","middle_initials":null,"last_name":"Billis","page_name":"AntonisBillis","domain_name":"auth","created_at":"2013-04-15T08:24:11.104-07:00","display_name":"Antonis Billis","url":"https://auth.academia.edu/AntonisBillis"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="25322302"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/25322302/Internet_of_things_for_an_age_friendly_healthcare"><img alt="Research paper thumbnail of Internet of things for an age-friendly healthcare" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/25322302/Internet_of_things_for_an_age_friendly_healthcare">Internet of things for an age-friendly healthcare</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/AntonisBillis">Antonis Billis</a></span></div><div class="wp-workCard_item"><span>Studies in health technology and informatics</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In healthcare applications a large cohort of recent implementations utilises IoT-oriented infrast...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In healthcare applications a large cohort of recent implementations utilises IoT-oriented infrastructures (XMPP) as well as smart mobile devices as communication gateways. IoT characteristi Communication/Connectivity, Pervasive Computing and Ambient Intelligence, are all highly related to Active and Healthy Aging environments. This paper presents a new idea, that of IoT enabled devices which are directly connected to the IoT (a glucose meter is used as an example herein), complying with the XMPP messaging protocol and the incorporation of a recently released Controller Application Communication (CAC) framework for distributed, cross-platform communication. A web based exergaming platform and a disease management tool, provide the vehicles for the demonstration of the feasibility and the successful implementation and integration of the aforementioned infrastructure.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="25322302"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="25322302"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25322302; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=25322302]").text(description); $(".js-view-count[data-work-id=25322302]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 25322302; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='25322302']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 25322302, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=25322302]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":25322302,"title":"Internet of things for an age-friendly healthcare","translated_title":"","metadata":{"abstract":"In healthcare applications a large cohort of recent implementations utilises IoT-oriented infrastructures (XMPP) as well as smart mobile devices as communication gateways. IoT characteristi Communication/Connectivity, Pervasive Computing and Ambient Intelligence, are all highly related to Active and Healthy Aging environments. This paper presents a new idea, that of IoT enabled devices which are directly connected to the IoT (a glucose meter is used as an example herein), complying with the XMPP messaging protocol and the incorporation of a recently released Controller Application Communication (CAC) framework for distributed, cross-platform communication. A web based exergaming platform and a disease management tool, provide the vehicles for the demonstration of the feasibility and the successful implementation and integration of the aforementioned infrastructure.","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Studies in health technology and informatics"},"translated_abstract":"In healthcare applications a large cohort of recent implementations utilises IoT-oriented infrastructures (XMPP) as well as smart mobile devices as communication gateways. IoT characteristi Communication/Connectivity, Pervasive Computing and Ambient Intelligence, are all highly related to Active and Healthy Aging environments. This paper presents a new idea, that of IoT enabled devices which are directly connected to the IoT (a glucose meter is used as an example herein), complying with the XMPP messaging protocol and the incorporation of a recently released Controller Application Communication (CAC) framework for distributed, cross-platform communication. A web based exergaming platform and a disease management tool, provide the vehicles for the demonstration of the feasibility and the successful implementation and integration of the aforementioned infrastructure.","internal_url":"https://www.academia.edu/25322302/Internet_of_things_for_an_age_friendly_healthcare","translated_internal_url":"","created_at":"2016-05-14T06:49:10.375-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":3806260,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":20247308,"work_id":25322302,"tagging_user_id":3806260,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":0,"name":"Evdokimos Konstantinidis","title":"Internet of things for an age-friendly healthcare"},{"id":20247321,"work_id":25322302,"tagging_user_id":3806260,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":4194304,"name":"Panagiotis Bamidis","title":"Internet of things for an age-friendly healthcare"}],"downloadable_attachments":[],"slug":"Internet_of_things_for_an_age_friendly_healthcare","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":3806260,"first_name":"Antonis","middle_initials":null,"last_name":"Billis","page_name":"AntonisBillis","domain_name":"auth","created_at":"2013-04-15T08:24:11.104-07:00","display_name":"Antonis Billis","url":"https://auth.academia.edu/AntonisBillis"},"attachments":[],"research_interests":[{"id":59587,"name":"Library and Information Studies","url":"https://www.academia.edu/Documents/in/Library_and_Information_Studies"},{"id":410370,"name":"Public health systems and services research","url":"https://www.academia.edu/Documents/in/Public_health_systems_and_services_research-1"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="25322299"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/25322299/Exercise_Intensity_Forecasting"><img alt="Research paper thumbnail of Exercise Intensity Forecasting" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/25322299/Exercise_Intensity_Forecasting">Exercise Intensity Forecasting</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/AntonisBillis">Antonis Billis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item"><span>International Journal of E-Health and Medical Communications</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="25322299"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="25322299"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25322299; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=25322299]").text(description); $(".js-view-count[data-work-id=25322299]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 25322299; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='25322299']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 25322299, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=25322299]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":25322299,"title":"Exercise Intensity Forecasting","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"International Journal of E-Health and Medical Communications"},"translated_abstract":null,"internal_url":"https://www.academia.edu/25322299/Exercise_Intensity_Forecasting","translated_internal_url":"","created_at":"2016-05-14T06:49:09.836-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":3806260,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":20247293,"work_id":25322299,"tagging_user_id":3806260,"tagged_user_id":30149002,"co_author_invite_id":null,"email":"p***t@gmail.com","display_order":0,"name":"Panagiotis Antoniou","title":"Exercise Intensity Forecasting"},{"id":20247307,"work_id":25322299,"tagging_user_id":3806260,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":4194304,"name":"Evdokimos Konstantinidis","title":"Exercise Intensity Forecasting"},{"id":20247318,"work_id":25322299,"tagging_user_id":3806260,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":6291456,"name":"Panagiotis Bamidis","title":"Exercise Intensity Forecasting"}],"downloadable_attachments":[],"slug":"Exercise_Intensity_Forecasting","translated_slug":"","page_count":null,"language":"tl","content_type":"Work","owner":{"id":3806260,"first_name":"Antonis","middle_initials":null,"last_name":"Billis","page_name":"AntonisBillis","domain_name":"auth","created_at":"2013-04-15T08:24:11.104-07:00","display_name":"Antonis Billis","url":"https://auth.academia.edu/AntonisBillis"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="25322292"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/25322292/Leveraging_web_technologies_to_expose_multiple_contemporary_controller_input_in_smart_TV_rich_internet_applications_utilized_in_elderly_assisted_living_environments"><img alt="Research paper thumbnail of Leveraging web technologies to expose multiple contemporary controller input in smart TV rich internet applications utilized in elderly assisted living environments" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/25322292/Leveraging_web_technologies_to_expose_multiple_contemporary_controller_input_in_smart_TV_rich_internet_applications_utilized_in_elderly_assisted_living_environments">Leveraging web technologies to expose multiple contemporary controller input in smart TV rich internet applications utilized in elderly assisted living environments</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/AntonisBillis">Antonis Billis</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT This work describes a lightweight framework allowing internet applications to access con...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT This work describes a lightweight framework allowing internet applications to access controllers such as the Wii remote, Wii balance board and MS Kinect irrespective of proximity or configuration. This is achieved by utilizing predetermined schemas for encapsulating the controller information and transferring this data through standard internet communication technologies (RESTFUL services and Web Sockets) in platform independent, device naïve ways. These features of the framework provide Rich Internet Applications (RIAs) with ubiquitous access to sophisticated human computer interaction schemes for diverse uses. The proliferation of Smart TVs as central information hubs in elderly assisted living environments, along with the need for simple gesture control schemes for these demographics, provides one application of this framework. Thus, we demonstrate how this service can be incorporated for developing internet applications and how it can be utilized for providing intuitive interaction methods for RIAs deployed through Smart TVs in elderly assisted living environments.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="25322292"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="25322292"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25322292; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=25322292]").text(description); $(".js-view-count[data-work-id=25322292]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 25322292; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='25322292']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 25322292, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=25322292]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":25322292,"title":"Leveraging web technologies to expose multiple contemporary controller input in smart TV rich internet applications utilized in elderly assisted living environments","translated_title":"","metadata":{"abstract":"ABSTRACT This work describes a lightweight framework allowing internet applications to access controllers such as the Wii remote, Wii balance board and MS Kinect irrespective of proximity or configuration. This is achieved by utilizing predetermined schemas for encapsulating the controller information and transferring this data through standard internet communication technologies (RESTFUL services and Web Sockets) in platform independent, device naïve ways. These features of the framework provide Rich Internet Applications (RIAs) with ubiquitous access to sophisticated human computer interaction schemes for diverse uses. The proliferation of Smart TVs as central information hubs in elderly assisted living environments, along with the need for simple gesture control schemes for these demographics, provides one application of this framework. Thus, we demonstrate how this service can be incorporated for developing internet applications and how it can be utilized for providing intuitive interaction methods for RIAs deployed through Smart TVs in elderly assisted living environments.","publication_date":{"day":null,"month":null,"year":2014,"errors":{}}},"translated_abstract":"ABSTRACT This work describes a lightweight framework allowing internet applications to access controllers such as the Wii remote, Wii balance board and MS Kinect irrespective of proximity or configuration. This is achieved by utilizing predetermined schemas for encapsulating the controller information and transferring this data through standard internet communication technologies (RESTFUL services and Web Sockets) in platform independent, device naïve ways. These features of the framework provide Rich Internet Applications (RIAs) with ubiquitous access to sophisticated human computer interaction schemes for diverse uses. The proliferation of Smart TVs as central information hubs in elderly assisted living environments, along with the need for simple gesture control schemes for these demographics, provides one application of this framework. Thus, we demonstrate how this service can be incorporated for developing internet applications and how it can be utilized for providing intuitive interaction methods for RIAs deployed through Smart TVs in elderly assisted living environments.","internal_url":"https://www.academia.edu/25322292/Leveraging_web_technologies_to_expose_multiple_contemporary_controller_input_in_smart_TV_rich_internet_applications_utilized_in_elderly_assisted_living_environments","translated_internal_url":"","created_at":"2016-05-14T06:49:08.430-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":3806260,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":20247301,"work_id":25322292,"tagging_user_id":3806260,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":0,"name":"Evdokimos Konstantinidis","title":"Leveraging web technologies to expose multiple contemporary controller input in smart TV rich internet applications utilized in elderly assisted living environments"},{"id":20247311,"work_id":25322292,"tagging_user_id":3806260,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":4194304,"name":"Panagiotis Bamidis","title":"Leveraging web technologies to expose multiple contemporary controller input in smart TV rich internet applications utilized in elderly assisted living environments"}],"downloadable_attachments":[],"slug":"Leveraging_web_technologies_to_expose_multiple_contemporary_controller_input_in_smart_TV_rich_internet_applications_utilized_in_elderly_assisted_living_environments","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":3806260,"first_name":"Antonis","middle_initials":null,"last_name":"Billis","page_name":"AntonisBillis","domain_name":"auth","created_at":"2013-04-15T08:24:11.104-07:00","display_name":"Antonis Billis","url":"https://auth.academia.edu/AntonisBillis"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="25322291"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/25322291/Usability_of_a_cognitive_Gradior_and_physical_training_program_based_in_new_software_technologies_in_patients_with_mild_dementia_mild_cognitive_impairment_and_healthy_elderly_people_Long_Lasting_Memories_preliminary_findings"><img alt="Research paper thumbnail of Usability of a cognitive (Gradior) and physical training program based in new software technologies in patients with mild dementia, mild cognitive impairment and healthy elderly people: Long Lasting Memories preliminary findings" class="work-thumbnail" src="https://attachments.academia-assets.com/45702304/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/25322291/Usability_of_a_cognitive_Gradior_and_physical_training_program_based_in_new_software_technologies_in_patients_with_mild_dementia_mild_cognitive_impairment_and_healthy_elderly_people_Long_Lasting_Memories_preliminary_findings">Usability of a cognitive (Gradior) and physical training program based in new software technologies in patients with mild dementia, mild cognitive impairment and healthy elderly people: Long Lasting Memories preliminary findings</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/AntonisBillis">Antonis Billis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item"><span>Neuroscience Letters</span><span>, 2011</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ac866644fc37e516c8ea36315c3dbaf9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":45702304,"asset_id":25322291,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/45702304/download_file?st=MTczMjQ1MDMzNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="25322291"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="25322291"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25322291; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=25322291]").text(description); $(".js-view-count[data-work-id=25322291]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 25322291; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='25322291']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 25322291, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "ac866644fc37e516c8ea36315c3dbaf9" } } $('.js-work-strip[data-work-id=25322291]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":25322291,"title":"Usability of a cognitive (Gradior) and physical training program based in new software technologies in patients with mild dementia, mild cognitive impairment and healthy elderly people: Long Lasting Memories preliminary findings","translated_title":"","metadata":{"grobid_abstract":"Abstracts of SAN Meeting / Neuroscience Letters 500S (2011) e1-e54 combined CT and PT using a computer interface. The sessions were lasting for 2 h and were run in a 5 days/week basis and were implemented in 3 community centers.","publication_date":{"day":null,"month":null,"year":2011,"errors":{}},"publication_name":"Neuroscience Letters","grobid_abstract_attachment_id":45702304},"translated_abstract":null,"internal_url":"https://www.academia.edu/25322291/Usability_of_a_cognitive_Gradior_and_physical_training_program_based_in_new_software_technologies_in_patients_with_mild_dementia_mild_cognitive_impairment_and_healthy_elderly_people_Long_Lasting_Memories_preliminary_findings","translated_internal_url":"","created_at":"2016-05-14T06:49:08.032-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":3806260,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":20247283,"work_id":25322291,"tagging_user_id":3806260,"tagged_user_id":null,"co_author_invite_id":3872514,"email":"m***o@uah.es","display_order":0,"name":"Manuel Franco","title":"Usability of a cognitive (Gradior) and physical training program based in new software technologies in patients with mild dementia, mild cognitive impairment and healthy elderly people: Long Lasting Memories preliminary findings"},{"id":20247284,"work_id":25322291,"tagging_user_id":3806260,"tagged_user_id":27626290,"co_author_invite_id":null,"email":"a***s@seerc.org","affiliation":"CITY College, University of York Europe Campus","display_order":4194304,"name":"Aristea I . Ladas","title":"Usability of a cognitive (Gradior) and physical training program based in new software technologies in patients with mild dementia, mild cognitive impairment and healthy elderly people: Long Lasting Memories preliminary findings"},{"id":20247295,"work_id":25322291,"tagging_user_id":3806260,"tagged_user_id":147862,"co_author_invite_id":null,"email":"c***s@gmail.com","affiliation":"Aristotle University of Thessaloniki","display_order":6291456,"name":"Christos Frantzidis","title":"Usability of a cognitive (Gradior) and physical training program based in new software technologies in patients with mild dementia, mild cognitive impairment and healthy elderly people: Long Lasting Memories preliminary findings"},{"id":20247300,"work_id":25322291,"tagging_user_id":3806260,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":7340032,"name":"Evdokimos Konstantinidis","title":"Usability of a cognitive (Gradior) and physical training program based in new software technologies in patients with mild dementia, mild cognitive impairment and healthy elderly people: Long Lasting Memories preliminary findings"},{"id":20247310,"work_id":25322291,"tagging_user_id":3806260,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":7864320,"name":"Panagiotis Bamidis","title":"Usability of a cognitive (Gradior) and physical training program based in new software technologies in patients with mild dementia, mild cognitive impairment and healthy elderly people: Long Lasting Memories preliminary findings"}],"downloadable_attachments":[{"id":45702304,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/45702304/thumbnails/1.jpg","file_name":"j.neulet.2011.05.07920160517-21154-1afxfmb.pdf","download_url":"https://www.academia.edu/attachments/45702304/download_file?st=MTczMjQ1MDMzNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Usability_of_a_cognitive_Gradior_and_phy.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/45702304/j.neulet.2011.05.07920160517-21154-1afxfmb-libre.pdf?1463481097=\u0026response-content-disposition=attachment%3B+filename%3DUsability_of_a_cognitive_Gradior_and_phy.pdf\u0026Expires=1732453935\u0026Signature=Oz68DD4Z-N3lQeCYrxbG-px5si7ZGvLgMzoaDftNRg7O-Z-of7AinFWIfKQWisNy7hs7cATXvM1-Q47c-YWuiENeI8NMDVzAVjlDKSZzgwgYSvrUYjBr7zMtW5qD0Is80iidKgFrH-XbjxDjpnzS02cw2FoKyF-2aUtNrQIiiJ1i4uKw4vRFzctHTe26KUYBawvW4Ea5FSEfrzPmlDfSJoCz-Mdv0cHMbEG9lStG16zfuCcNm0YxtQz6DOsFRmw2WKrqgDvw3iWDw8Se-sPD2zhrUaQ~5J8nmMkZye~tUtUxhh3Amy9vzkpBFhCsoIDtZRVngNeMSkygaMkShNFXLA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Usability_of_a_cognitive_Gradior_and_physical_training_program_based_in_new_software_technologies_in_patients_with_mild_dementia_mild_cognitive_impairment_and_healthy_elderly_people_Long_Lasting_Memories_preliminary_findings","translated_slug":"","page_count":1,"language":"en","content_type":"Work","owner":{"id":3806260,"first_name":"Antonis","middle_initials":null,"last_name":"Billis","page_name":"AntonisBillis","domain_name":"auth","created_at":"2013-04-15T08:24:11.104-07:00","display_name":"Antonis Billis","url":"https://auth.academia.edu/AntonisBillis"},"attachments":[{"id":45702304,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/45702304/thumbnails/1.jpg","file_name":"j.neulet.2011.05.07920160517-21154-1afxfmb.pdf","download_url":"https://www.academia.edu/attachments/45702304/download_file?st=MTczMjQ1MDMzNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Usability_of_a_cognitive_Gradior_and_phy.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/45702304/j.neulet.2011.05.07920160517-21154-1afxfmb-libre.pdf?1463481097=\u0026response-content-disposition=attachment%3B+filename%3DUsability_of_a_cognitive_Gradior_and_phy.pdf\u0026Expires=1732453935\u0026Signature=Oz68DD4Z-N3lQeCYrxbG-px5si7ZGvLgMzoaDftNRg7O-Z-of7AinFWIfKQWisNy7hs7cATXvM1-Q47c-YWuiENeI8NMDVzAVjlDKSZzgwgYSvrUYjBr7zMtW5qD0Is80iidKgFrH-XbjxDjpnzS02cw2FoKyF-2aUtNrQIiiJ1i4uKw4vRFzctHTe26KUYBawvW4Ea5FSEfrzPmlDfSJoCz-Mdv0cHMbEG9lStG16zfuCcNm0YxtQz6DOsFRmw2WKrqgDvw3iWDw8Se-sPD2zhrUaQ~5J8nmMkZye~tUtUxhh3Amy9vzkpBFhCsoIDtZRVngNeMSkygaMkShNFXLA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science"},{"id":8971,"name":"Mild Cognitive Impairment","url":"https://www.academia.edu/Documents/in/Mild_Cognitive_Impairment"},{"id":88908,"name":"Elderly People","url":"https://www.academia.edu/Documents/in/Elderly_People"},{"id":1014845,"name":"Physical Training","url":"https://www.academia.edu/Documents/in/Physical_Training"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="25322294"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/25322294/A_preliminary_fuzzy_cognitive_map_Based_desicion_support_tool_for_geriatric_depression_assessment"><img alt="Research paper thumbnail of A preliminary fuzzy cognitive map - Based desicion support tool for geriatric depression assessment" class="work-thumbnail" src="https://attachments.academia-assets.com/45621269/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/25322294/A_preliminary_fuzzy_cognitive_map_Based_desicion_support_tool_for_geriatric_depression_assessment">A preliminary fuzzy cognitive map - Based desicion support tool for geriatric depression assessment</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/AntonisBillis">Antonis Billis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9cf6fc218cf5318c60dc714af0b8b3c1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":45621269,"asset_id":25322294,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/45621269/download_file?st=MTczMjQ1MDMzNiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="25322294"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="25322294"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25322294; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=25322294]").text(description); $(".js-view-count[data-work-id=25322294]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 25322294; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='25322294']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 25322294, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "9cf6fc218cf5318c60dc714af0b8b3c1" } } $('.js-work-strip[data-work-id=25322294]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":25322294,"title":"A preliminary fuzzy cognitive map - Based desicion support tool for geriatric depression assessment","translated_title":"","metadata":{"grobid_abstract":"Dramatic changes in the demographic situation across western countries suggest that new policies towards elderly healthcare should be followed. Among these, timely detection and forecasting of early signs of pathological physical, cognitive or emotional health is of paramount importance, since it will allow for certain medicative strategies to be applied. The USEFIL project as such, aims at developing services that would contribute to the prolongation of seniors' independent living and support them during their daily life activities. An unobtrusive sensor network along with several intelligent processing algorithms will result to a better understanding of the senior population health course.","publication_date":{"day":null,"month":null,"year":2013,"errors":{}},"grobid_abstract_attachment_id":45621269},"translated_abstract":null,"internal_url":"https://www.academia.edu/25322294/A_preliminary_fuzzy_cognitive_map_Based_desicion_support_tool_for_geriatric_depression_assessment","translated_internal_url":"","created_at":"2016-05-14T06:49:08.647-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":3806260,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":20247291,"work_id":25322294,"tagging_user_id":3806260,"tagged_user_id":null,"co_author_invite_id":822107,"email":"e***u@teiste.gr","display_order":0,"name":"Elpiniki Papageorgiou","title":"A preliminary fuzzy cognitive map - Based desicion support tool for geriatric depression assessment"},{"id":20247297,"work_id":25322294,"tagging_user_id":3806260,"tagged_user_id":147862,"co_author_invite_id":null,"email":"c***s@gmail.com","affiliation":"Aristotle University of Thessaloniki","display_order":4194304,"name":"Christos Frantzidis","title":"A preliminary fuzzy cognitive map - Based desicion support tool for geriatric depression assessment"},{"id":20247303,"work_id":25322294,"tagging_user_id":3806260,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":6291456,"name":"Evdokimos Konstantinidis","title":"A preliminary fuzzy cognitive map - Based desicion support tool for geriatric depression assessment"},{"id":20247313,"work_id":25322294,"tagging_user_id":3806260,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":7340032,"name":"Panagiotis Bamidis","title":"A preliminary fuzzy cognitive map - Based desicion support tool for geriatric depression assessment"}],"downloadable_attachments":[{"id":45621269,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/45621269/thumbnails/1.jpg","file_name":"A_preliminary_fuzzy_cognitive_map_-_base20160514-28594-zcwdls.pdf","download_url":"https://www.academia.edu/attachments/45621269/download_file?st=MTczMjQ1MDMzNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_preliminary_fuzzy_cognitive_map_Based.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/45621269/A_preliminary_fuzzy_cognitive_map_-_base20160514-28594-zcwdls-libre.pdf?1463234093=\u0026response-content-disposition=attachment%3B+filename%3DA_preliminary_fuzzy_cognitive_map_Based.pdf\u0026Expires=1732453936\u0026Signature=IFwd3nsE4pVF1KLXLPQDD8nufPV3zb~6BkwdRuHkas9JEkcw1S3HswLWlc6Oaz7nnCOX2qhmTnYn4VRYNgE7jdcMaT1~WevUB7lI6uag3HR-sEz1rwrLWp6XfZ~9iPaCOkR8RVuoEZWLcnYYl8-cX-mxGurdyXFUFP1E3BxEbJF899xJG3Rlx0NLjl9AAfHBixKxWWhEvPFDTHbzn~OwJDFylWR5O8JLnNm~wp2wcPqrRzkuVAD1Pz-XSbHuEeMyBTk5dgMPlpyalUZn84bMtlQAEZhulCX2-tY~G4WKtHdXXJE15iED5zPJzy6YEsOR730v6-Ma3BR~HEcwL63cdA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_preliminary_fuzzy_cognitive_map_Based_desicion_support_tool_for_geriatric_depression_assessment","translated_slug":"","page_count":8,"language":"en","content_type":"Work","owner":{"id":3806260,"first_name":"Antonis","middle_initials":null,"last_name":"Billis","page_name":"AntonisBillis","domain_name":"auth","created_at":"2013-04-15T08:24:11.104-07:00","display_name":"Antonis Billis","url":"https://auth.academia.edu/AntonisBillis"},"attachments":[{"id":45621269,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/45621269/thumbnails/1.jpg","file_name":"A_preliminary_fuzzy_cognitive_map_-_base20160514-28594-zcwdls.pdf","download_url":"https://www.academia.edu/attachments/45621269/download_file?st=MTczMjQ1MDMzNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_preliminary_fuzzy_cognitive_map_Based.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/45621269/A_preliminary_fuzzy_cognitive_map_-_base20160514-28594-zcwdls-libre.pdf?1463234093=\u0026response-content-disposition=attachment%3B+filename%3DA_preliminary_fuzzy_cognitive_map_Based.pdf\u0026Expires=1732453936\u0026Signature=IFwd3nsE4pVF1KLXLPQDD8nufPV3zb~6BkwdRuHkas9JEkcw1S3HswLWlc6Oaz7nnCOX2qhmTnYn4VRYNgE7jdcMaT1~WevUB7lI6uag3HR-sEz1rwrLWp6XfZ~9iPaCOkR8RVuoEZWLcnYYl8-cX-mxGurdyXFUFP1E3BxEbJF899xJG3Rlx0NLjl9AAfHBixKxWWhEvPFDTHbzn~OwJDFylWR5O8JLnNm~wp2wcPqrRzkuVAD1Pz-XSbHuEeMyBTk5dgMPlpyalUZn84bMtlQAEZhulCX2-tY~G4WKtHdXXJE15iED5zPJzy6YEsOR730v6-Ma3BR~HEcwL63cdA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="3293985"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/3293985/A_Web_services_based_exergaming_platform_for_senior_citizens_The_long_lasting_memories_project_approach_to_e_health_care"><img alt="Research paper thumbnail of A Web services-based exergaming platform for senior citizens: The long lasting memories project approach to e-health care" class="work-thumbnail" src="https://attachments.academia-assets.com/50360228/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/3293985/A_Web_services_based_exergaming_platform_for_senior_citizens_The_long_lasting_memories_project_approach_to_e_health_care">A Web services-based exergaming platform for senior citizens: The long lasting memories project approach to e-health care</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/AntonisBillis">Antonis Billis</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://cut.academia.edu/EfthyvoulosKyriacou">Efthyvoulos Kyriacou</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/MagdaTsolaki">Magda Tsolaki</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This piece of research describes an innovative e-health service that supports the cognitive and p...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This piece of research describes an innovative e-health service that supports the cognitive and physical training of senior citizens and promotes their active ageing. The approach is adopted by the Long Lasting Memories (LLM) project, elements of which are discussed herein in the light of the functionalities provided to the users and the therapists. The aim of this work is to describe those technical elements that demonstrate the unique and integrative character of the LLM service, which is based on a modular Web service architecture, rendering the system available in different settings like the homes of seniors. The underlying database as well as the remote user interface empower therapists to set personalized training schemes, to view the progress of training sessions, as well as, adding new games and exercises into the system, thereby increasing the services sustainability and marketability.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="21e0adb5326bbe039d913369690e4b06" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":50360228,"asset_id":3293985,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/50360228/download_file?st=MTczMjQ1MDMzNiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="3293985"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="3293985"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 3293985; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=3293985]").text(description); $(".js-view-count[data-work-id=3293985]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 3293985; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='3293985']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 3293985, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "21e0adb5326bbe039d913369690e4b06" } } $('.js-work-strip[data-work-id=3293985]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":3293985,"title":"A Web services-based exergaming platform for senior citizens: The long lasting memories project approach to e-health care","translated_title":"","metadata":{"abstract":"This piece of research describes an innovative e-health service that supports the cognitive and physical training of senior citizens and promotes their active ageing. The approach is adopted by the Long Lasting Memories (LLM) project, elements of which are discussed herein in the light of the functionalities provided to the users and the therapists. The aim of this work is to describe those technical elements that demonstrate the unique and integrative character of the LLM service, which is based on a modular Web service architecture, rendering the system available in different settings like the homes of seniors. The underlying database as well as the remote user interface empower therapists to set personalized training schemes, to view the progress of training sessions, as well as, adding new games and exercises into the system, thereby increasing the services sustainability and marketability.","publication_date":{"day":null,"month":null,"year":2011,"errors":{}}},"translated_abstract":"This piece of research describes an innovative e-health service that supports the cognitive and physical training of senior citizens and promotes their active ageing. The approach is adopted by the Long Lasting Memories (LLM) project, elements of which are discussed herein in the light of the functionalities provided to the users and the therapists. The aim of this work is to describe those technical elements that demonstrate the unique and integrative character of the LLM service, which is based on a modular Web service architecture, rendering the system available in different settings like the homes of seniors. The underlying database as well as the remote user interface empower therapists to set personalized training schemes, to view the progress of training sessions, as well as, adding new games and exercises into the system, thereby increasing the services sustainability and marketability.","internal_url":"https://www.academia.edu/3293985/A_Web_services_based_exergaming_platform_for_senior_citizens_The_long_lasting_memories_project_approach_to_e_health_care","translated_internal_url":"","created_at":"2013-04-15T08:28:55.925-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":3806260,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":20247276,"work_id":3293985,"tagging_user_id":3806260,"tagged_user_id":33202420,"co_author_invite_id":null,"email":"e***u@frederick.ac.cy","affiliation":"Cyprus University of Technology","display_order":4194304,"name":"Efthyvoulos Kyriacou","title":"A Web services-based exergaming platform for senior citizens: The long lasting memories project approach to e-health care"},{"id":20247277,"work_id":3293985,"tagging_user_id":3806260,"tagged_user_id":32632997,"co_author_invite_id":null,"email":"t***m@med.auth.gr","display_order":6291456,"name":"Magda Tsolaki","title":"A Web services-based exergaming platform for senior citizens: The long lasting memories project approach to e-health care"},{"id":20247278,"work_id":3293985,"tagging_user_id":3806260,"tagged_user_id":45014184,"co_author_invite_id":null,"email":"w***k@ceit.at","display_order":7340032,"name":"Walter Hlauschek","title":"A Web services-based exergaming platform for senior citizens: The long lasting memories project approach to e-health care"},{"id":20247294,"work_id":3293985,"tagging_user_id":3806260,"tagged_user_id":147862,"co_author_invite_id":null,"email":"c***s@gmail.com","affiliation":"Aristotle University of Thessaloniki","display_order":7864320,"name":"Christos Frantzidis","title":"A Web services-based exergaming platform for senior citizens: The long lasting memories project approach to e-health care"},{"id":20247299,"work_id":3293985,"tagging_user_id":3806260,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":8126464,"name":"Evdokimos Konstantinidis","title":"A Web services-based exergaming platform for senior citizens: The long lasting memories project approach to e-health care"},{"id":20247309,"work_id":3293985,"tagging_user_id":3806260,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":8257536,"name":"Panagiotis Bamidis","title":"A Web services-based exergaming platform for senior citizens: The long lasting memories project approach to e-health care"},{"id":24194999,"work_id":3293985,"tagging_user_id":33202420,"tagged_user_id":null,"co_author_invite_id":463806,"email":"m***h@ucy.ac.cy","display_order":8323072,"name":"M. Neofytou","title":"A Web services-based exergaming platform for senior citizens: The long lasting memories project approach to e-health care"}],"downloadable_attachments":[{"id":50360228,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/50360228/thumbnails/1.jpg","file_name":"2011_a_web_services-based_exergaming_platform_for_senior_citizens_the_llm_project_approach_to_e-health_care.pdf","download_url":"https://www.academia.edu/attachments/50360228/download_file?st=MTczMjQ1MDMzNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Web_services_based_exergaming_platform.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/50360228/2011_a_web_services-based_exergaming_platform_for_senior_citizens_the_llm_project_approach_to_e-health_care-libre.pdf?1479337756=\u0026response-content-disposition=attachment%3B+filename%3DA_Web_services_based_exergaming_platform.pdf\u0026Expires=1732453936\u0026Signature=Di8aJ8MLX~W-7lCcZvHWomcff62Eykox8naTDpVlam-7TKX0AsqIzRFAkosBgbBSl7o~Wv0UU0M6AY7adFMjVDHJEbjuRrAC9ntBs87C41R7hOOSxXDS78kxvzwZ8by0PXCZn1EHzPhBnHRKFN5CUZEhZiLG~7DFMAwoJgYv88xnSpye~HfN6w7p9dLstnuTh9SNIMF~XedmzkPRnl83Yjxp-D6yNRcS4KS~jQKYdk~ulNnPB6FjGj4QRapPIE969I4oGKbhmVE1~sky~SKdr1CS69uTB2O7TCUhE0WRlYSzda-BbK2V5H9rgZ0OW6cLEHF-wx2sKYGy~C7KFeys8g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_Web_services_based_exergaming_platform_for_senior_citizens_The_long_lasting_memories_project_approach_to_e_health_care","translated_slug":"","page_count":5,"language":"en","content_type":"Work","owner":{"id":3806260,"first_name":"Antonis","middle_initials":null,"last_name":"Billis","page_name":"AntonisBillis","domain_name":"auth","created_at":"2013-04-15T08:24:11.104-07:00","display_name":"Antonis Billis","url":"https://auth.academia.edu/AntonisBillis"},"attachments":[{"id":50360228,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/50360228/thumbnails/1.jpg","file_name":"2011_a_web_services-based_exergaming_platform_for_senior_citizens_the_llm_project_approach_to_e-health_care.pdf","download_url":"https://www.academia.edu/attachments/50360228/download_file?st=MTczMjQ1MDMzNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Web_services_based_exergaming_platform.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/50360228/2011_a_web_services-based_exergaming_platform_for_senior_citizens_the_llm_project_approach_to_e-health_care-libre.pdf?1479337756=\u0026response-content-disposition=attachment%3B+filename%3DA_Web_services_based_exergaming_platform.pdf\u0026Expires=1732453936\u0026Signature=Di8aJ8MLX~W-7lCcZvHWomcff62Eykox8naTDpVlam-7TKX0AsqIzRFAkosBgbBSl7o~Wv0UU0M6AY7adFMjVDHJEbjuRrAC9ntBs87C41R7hOOSxXDS78kxvzwZ8by0PXCZn1EHzPhBnHRKFN5CUZEhZiLG~7DFMAwoJgYv88xnSpye~HfN6w7p9dLstnuTh9SNIMF~XedmzkPRnl83Yjxp-D6yNRcS4KS~jQKYdk~ulNnPB6FjGj4QRapPIE969I4oGKbhmVE1~sky~SKdr1CS69uTB2O7TCUhE0WRlYSzda-BbK2V5H9rgZ0OW6cLEHF-wx2sKYGy~C7KFeys8g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":4212,"name":"Cognition","url":"https://www.academia.edu/Documents/in/Cognition"},{"id":4441,"name":"Health Care","url":"https://www.academia.edu/Documents/in/Health_Care"},{"id":9545,"name":"Web Services","url":"https://www.academia.edu/Documents/in/Web_Services"},{"id":11119,"name":"User Interface","url":"https://www.academia.edu/Documents/in/User_Interface"},{"id":23324,"name":"Telemedicine","url":"https://www.academia.edu/Documents/in/Telemedicine"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":46858,"name":"Memory","url":"https://www.academia.edu/Documents/in/Memory"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans"},{"id":83471,"name":"Health Services","url":"https://www.academia.edu/Documents/in/Health_Services"},{"id":289271,"name":"Aged","url":"https://www.academia.edu/Documents/in/Aged"},{"id":317992,"name":"Web Service","url":"https://www.academia.edu/Documents/in/Web_Service"},{"id":1014845,"name":"Physical Training","url":"https://www.academia.edu/Documents/in/Physical_Training"},{"id":1191356,"name":"Internet","url":"https://www.academia.edu/Documents/in/Internet"},{"id":1549959,"name":"SENIOR CITIZEN","url":"https://www.academia.edu/Documents/in/SENIOR_CITIZEN"}],"urls":[{"id":1015275,"url":"http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6090694"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5578062"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5578062/A_proposed_framework_of_an_interactive_semi_virtual_environment_for_enhanced_education_of_children_with_autism_spectrum_disorders"><img alt="Research paper thumbnail of A proposed framework of an interactive semi-virtual environment for enhanced education of children with autism spectrum disorders" class="work-thumbnail" src="https://attachments.academia-assets.com/49232478/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5578062/A_proposed_framework_of_an_interactive_semi_virtual_environment_for_enhanced_education_of_children_with_autism_spectrum_disorders">A proposed framework of an interactive semi-virtual environment for enhanced education of children with autism spectrum disorders</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/ChristosFrantzidis">Christos Frantzidis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Education of people with special needs has recently been considered as a key element in the field...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Education of people with special needs has recently been considered as a key element in the field of medical education. Recent development in the area of information and communication technologies may enable development of collaborative interactive environments which facilitate early stage education and provide specialists with robust tools indicating the person's autism spectrum disorder level. Towards the goal of establishing an enhanced learning environment for children with autism this paper attempts to provide a framework of a semi-controlled real-world environment used for the daily education of an autistic person according to the scenarios selected by the specialists. The proposed framework employs both real-world objects and virtual environments equipped with humanoids able to provide emotional feedback and to demonstrate empathy. Potential examples and usage scenarios for such environments are also described.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6b4116ec27ddf862610d84c21b772299" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":49232478,"asset_id":5578062,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/49232478/download_file?st=MTczMjQ1MDMzNiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5578062"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5578062"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5578062; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5578062]").text(description); $(".js-view-count[data-work-id=5578062]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5578062; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='5578062']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 5578062, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "6b4116ec27ddf862610d84c21b772299" } } $('.js-work-strip[data-work-id=5578062]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":5578062,"title":"A proposed framework of an interactive semi-virtual environment for enhanced education of children with autism spectrum disorders","translated_title":"","metadata":{"abstract":"Education of people with special needs has recently been considered as a key element in the field of medical education. Recent development in the area of information and communication technologies may enable development of collaborative interactive environments which facilitate early stage education and provide specialists with robust tools indicating the person's autism spectrum disorder level. Towards the goal of establishing an enhanced learning environment for children with autism this paper attempts to provide a framework of a semi-controlled real-world environment used for the daily education of an autistic person according to the scenarios selected by the specialists. The proposed framework employs both real-world objects and virtual environments equipped with humanoids able to provide emotional feedback and to demonstrate empathy. Potential examples and usage scenarios for such environments are also described.","publication_date":{"day":null,"month":null,"year":2009,"errors":{}}},"translated_abstract":"Education of people with special needs has recently been considered as a key element in the field of medical education. Recent development in the area of information and communication technologies may enable development of collaborative interactive environments which facilitate early stage education and provide specialists with robust tools indicating the person's autism spectrum disorder level. Towards the goal of establishing an enhanced learning environment for children with autism this paper attempts to provide a framework of a semi-controlled real-world environment used for the daily education of an autistic person according to the scenarios selected by the specialists. The proposed framework employs both real-world objects and virtual environments equipped with humanoids able to provide emotional feedback and to demonstrate empathy. Potential examples and usage scenarios for such environments are also described.","internal_url":"https://www.academia.edu/5578062/A_proposed_framework_of_an_interactive_semi_virtual_environment_for_enhanced_education_of_children_with_autism_spectrum_disorders","translated_internal_url":"","created_at":"2014-01-01T21:04:59.874-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":147862,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":13787802,"work_id":5578062,"tagging_user_id":147862,"tagged_user_id":202120,"co_author_invite_id":null,"email":"a***i@gmail.com","affiliation":"South East European Research Centre (SEERC)","display_order":0,"name":"Andrej Luneski","title":"A proposed framework of an interactive semi-virtual environment for enhanced education of children with autism spectrum disorders"},{"id":19391791,"work_id":5578062,"tagging_user_id":147862,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":4194304,"name":"Evdokimos Konstantinidis","title":"A proposed framework of an interactive semi-virtual environment for enhanced education of children with autism spectrum disorders"},{"id":19391818,"work_id":5578062,"tagging_user_id":147862,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":6291456,"name":"Panagiotis Bamidis","title":"A proposed framework of an interactive semi-virtual environment for enhanced education of children with autism spectrum disorders"}],"downloadable_attachments":[{"id":49232478,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/49232478/thumbnails/1.jpg","file_name":"A_proposed_framework_of_an_interactive_s20160930-22295-6u2o0w.pdf","download_url":"https://www.academia.edu/attachments/49232478/download_file?st=MTczMjQ1MDMzNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_proposed_framework_of_an_interactive_s.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/49232478/A_proposed_framework_of_an_interactive_s20160930-22295-6u2o0w-libre.pdf?1475223746=\u0026response-content-disposition=attachment%3B+filename%3DA_proposed_framework_of_an_interactive_s.pdf\u0026Expires=1732453936\u0026Signature=KLksIJTDbdnbAR7AbqR0Wbrhu7E22cHxIKndQbPKOz1QqOn68QH0uRL2Qoacp9yofbUcvJpnljdbO8vnZUy5M-MaOEzW7yprVvAx5duuE4UXvzgOm0RVc1MN8m6wnwA3hDDBKlKxFWdkuMPFlullc7TdkML73~n00qZRPokMttkxoXp0tokOYfzq9ube~6xiILQRvQBNR8ql04iXkoSw2Ld12X7KYRs85JOA9~MUg75Ia-zZd4AzTkd~NX~mFL5KH2Wk3uDXMAtMw7Y1PWp76BpsB4tat2bN~v5H7S5vqszSXuVjTEjXpYsYzwf94vKB4a0LPOfk5MDUeOu~5pwMqg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_proposed_framework_of_an_interactive_semi_virtual_environment_for_enhanced_education_of_children_with_autism_spectrum_disorders","translated_slug":"","page_count":7,"language":"en","content_type":"Work","owner":{"id":147862,"first_name":"Christos","middle_initials":null,"last_name":"Frantzidis","page_name":"ChristosFrantzidis","domain_name":"auth","created_at":"2010-03-20T11:24:43.263-07:00","display_name":"Christos Frantzidis","url":"https://auth.academia.edu/ChristosFrantzidis"},"attachments":[{"id":49232478,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/49232478/thumbnails/1.jpg","file_name":"A_proposed_framework_of_an_interactive_s20160930-22295-6u2o0w.pdf","download_url":"https://www.academia.edu/attachments/49232478/download_file?st=MTczMjQ1MDMzNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_proposed_framework_of_an_interactive_s.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/49232478/A_proposed_framework_of_an_interactive_s20160930-22295-6u2o0w-libre.pdf?1475223746=\u0026response-content-disposition=attachment%3B+filename%3DA_proposed_framework_of_an_interactive_s.pdf\u0026Expires=1732453936\u0026Signature=KLksIJTDbdnbAR7AbqR0Wbrhu7E22cHxIKndQbPKOz1QqOn68QH0uRL2Qoacp9yofbUcvJpnljdbO8vnZUy5M-MaOEzW7yprVvAx5duuE4UXvzgOm0RVc1MN8m6wnwA3hDDBKlKxFWdkuMPFlullc7TdkML73~n00qZRPokMttkxoXp0tokOYfzq9ube~6xiILQRvQBNR8ql04iXkoSw2Ld12X7KYRs85JOA9~MUg75Ia-zZd4AzTkd~NX~mFL5KH2Wk3uDXMAtMw7Y1PWp76BpsB4tat2bN~v5H7S5vqszSXuVjTEjXpYsYzwf94vKB4a0LPOfk5MDUeOu~5pwMqg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":4455,"name":"Medical Education","url":"https://www.academia.edu/Documents/in/Medical_Education"},{"id":18814,"name":"Information and Communication technology","url":"https://www.academia.edu/Documents/in/Information_and_Communication_technology-1"},{"id":46131,"name":"Paediatrics","url":"https://www.academia.edu/Documents/in/Paediatrics"},{"id":50642,"name":"Virtual Reality","url":"https://www.academia.edu/Documents/in/Virtual_Reality"},{"id":65647,"name":"Learning Environment","url":"https://www.academia.edu/Documents/in/Learning_Environment"},{"id":68786,"name":"Virtual Environment","url":"https://www.academia.edu/Documents/in/Virtual_Environment"},{"id":89159,"name":"Humanoid robots","url":"https://www.academia.edu/Documents/in/Humanoid_robots"},{"id":234882,"name":"Autism Spectrum Disorder","url":"https://www.academia.edu/Documents/in/Autism_Spectrum_Disorder"},{"id":277912,"name":"Special Needs","url":"https://www.academia.edu/Documents/in/Special_Needs"},{"id":296635,"name":"Interactive Learning Environment","url":"https://www.academia.edu/Documents/in/Interactive_Learning_Environment"},{"id":426198,"name":"Cbms","url":"https://www.academia.edu/Documents/in/Cbms"}],"urls":[{"id":2170247,"url":"http://dx.doi.org/10.1109/CBMS.2009.5255414"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="244635"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/244635/On_the_Classification_of_Emotional_Biosignals_Evoked_While_Viewing_Affective_Pictures_An_Integrated_Data_Mining_Based_Approach_for_Healthcare_Applications"><img alt="Research paper thumbnail of On the Classiﬁcation of Emotional Biosignals Evoked While Viewing Affective Pictures: An Integrated Data-Mining-Based Approach for Healthcare Applications" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/244635/On_the_Classification_of_Emotional_Biosignals_Evoked_While_Viewing_Affective_Pictures_An_Integrated_Data_Mining_Based_Approach_for_Healthcare_Applications">On the Classiﬁcation of Emotional Biosignals Evoked While Viewing Affective Pictures: An Integrated Data-Mining-Based Approach for Healthcare Applications</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/ChristosFrantzidis">Christos Frantzidis</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/CharalamposBratsas">Charalampos Bratsas</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Recent neuroscience ﬁndings demonstrate the funda- mental role of emotion in the maintenance of p...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Recent neuroscience ﬁndings demonstrate the funda-<br />mental role of emotion in the maintenance of physical and mental health. In the present study, a novel architecture is proposed for the robust discrimination of emotional physiological signals evoked upon viewing pictures selected fromthe InternationalAffective Picture System (IAPS). Biosignals are multichannel recordings from both the central and the autonomic nervous systems. Following the bidirectional emotion theory model, IAPS pictures are rated along two dimensions, namely, their valence and arousal. Following this model, biosignals in this paper are initially differentiated according to their valence dimension by means of a data mining approach, which is the C4.5 decision tree algorithm. Then, the valence and the gender information serve as an input to aMahalanobis distance classiﬁer, which dissects the data into high and low arousing. Results are described in ExtensibleMarkup Language (XML) format, thereby accounting for platform independency, easy interconnectivity, and information exchange. The average recognition (success)<br />rate was 77.68% for the discrimination of four emotional states, differing both in their arousal and valence dimension. It is, therefore, envisaged that the proposed approach holds promise for the efﬁcient discrimination of negative and positive emotions, and it is hereby discussed how future developments may be steered to serve for affective healthcare applications, such as the monitoring of the elderly or chronically ill people.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7bad475a70a624dbd774f87ebd46bfa8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":986924,"asset_id":244635,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/986924/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="244635"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="244635"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 244635; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=244635]").text(description); $(".js-view-count[data-work-id=244635]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 244635; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='244635']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 244635, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7bad475a70a624dbd774f87ebd46bfa8" } } $('.js-work-strip[data-work-id=244635]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":244635,"title":"On the Classiﬁcation of Emotional Biosignals Evoked While Viewing Affective Pictures: An Integrated Data-Mining-Based Approach for Healthcare Applications","translated_title":"","metadata":{"abstract":"Recent neuroscience ﬁndings demonstrate the funda-\nmental role of emotion in the maintenance of physical and mental health. In the present study, a novel architecture is proposed for the robust discrimination of emotional physiological signals evoked upon viewing pictures selected fromthe InternationalAffective Picture System (IAPS). Biosignals are multichannel recordings from both the central and the autonomic nervous systems. Following the bidirectional emotion theory model, IAPS pictures are rated along two dimensions, namely, their valence and arousal. Following this model, biosignals in this paper are initially differentiated according to their valence dimension by means of a data mining approach, which is the C4.5 decision tree algorithm. Then, the valence and the gender information serve as an input to aMahalanobis distance classiﬁer, which dissects the data into high and low arousing. Results are described in ExtensibleMarkup Language (XML) format, thereby accounting for platform independency, easy interconnectivity, and information exchange. The average recognition (success)\nrate was 77.68% for the discrimination of four emotional states, differing both in their arousal and valence dimension. It is, therefore, envisaged that the proposed approach holds promise for the efﬁcient discrimination of negative and positive emotions, and it is hereby discussed how future developments may be steered to serve for affective healthcare applications, such as the monitoring of the elderly or chronically ill people.","more_info":"This paper appears in: Information Technology in Biomedicine, IEEE Transactions on Issue Date: March 2010 Volume: 14 Issue: 2 On page(s): 309 - 318 "},"translated_abstract":"Recent neuroscience ﬁndings demonstrate the funda-\nmental role of emotion in the maintenance of physical and mental health. In the present study, a novel architecture is proposed for the robust discrimination of emotional physiological signals evoked upon viewing pictures selected fromthe InternationalAffective Picture System (IAPS). Biosignals are multichannel recordings from both the central and the autonomic nervous systems. Following the bidirectional emotion theory model, IAPS pictures are rated along two dimensions, namely, their valence and arousal. Following this model, biosignals in this paper are initially differentiated according to their valence dimension by means of a data mining approach, which is the C4.5 decision tree algorithm. Then, the valence and the gender information serve as an input to aMahalanobis distance classiﬁer, which dissects the data into high and low arousing. Results are described in ExtensibleMarkup Language (XML) format, thereby accounting for platform independency, easy interconnectivity, and information exchange. The average recognition (success)\nrate was 77.68% for the discrimination of four emotional states, differing both in their arousal and valence dimension. It is, therefore, envisaged that the proposed approach holds promise for the efﬁcient discrimination of negative and positive emotions, and it is hereby discussed how future developments may be steered to serve for affective healthcare applications, such as the monitoring of the elderly or chronically ill people.","internal_url":"https://www.academia.edu/244635/On_the_Classification_of_Emotional_Biosignals_Evoked_While_Viewing_Affective_Pictures_An_Integrated_Data_Mining_Based_Approach_for_Healthcare_Applications","translated_internal_url":"","created_at":"2010-06-13T23:59:29.384-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":147862,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":13787822,"work_id":244635,"tagging_user_id":147862,"tagged_user_id":34898140,"co_author_invite_id":null,"email":"k***i@med.duth.gr","affiliation":"Democritus University of Thrace","display_order":0,"name":"Eleni Kaldoudi","title":"On the Classiﬁcation of Emotional Biosignals Evoked While Viewing Affective Pictures: An Integrated Data-Mining-Based Approach for Healthcare Applications"},{"id":13787823,"work_id":244635,"tagging_user_id":147862,"tagged_user_id":34968593,"co_author_invite_id":null,"email":"c***s@math.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":4194304,"name":"Charalampos Bratsas","title":"On the Classiﬁcation of Emotional Biosignals Evoked While Viewing Affective Pictures: An Integrated Data-Mining-Based Approach for Healthcare Applications"},{"id":19391790,"work_id":244635,"tagging_user_id":147862,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":6291456,"name":"Evdokimos Konstantinidis","title":"On the Classiﬁcation of Emotional Biosignals Evoked While Viewing Affective Pictures: An Integrated Data-Mining-Based Approach for Healthcare Applications"},{"id":19391795,"work_id":244635,"tagging_user_id":147862,"tagged_user_id":null,"co_author_invite_id":1306671,"email":"c***z@pe.uth.gr","display_order":7340032,"name":"Chrysa Lithari","title":"On the Classiﬁcation of Emotional Biosignals Evoked While Viewing Affective Pictures: An Integrated Data-Mining-Based Approach for Healthcare Applications"},{"id":19391808,"work_id":244635,"tagging_user_id":147862,"tagged_user_id":27485044,"co_author_invite_id":null,"email":"v***s@city.academic.gr","display_order":7864320,"name":"Ana Vivas","title":"On the Classiﬁcation of Emotional Biosignals Evoked While Viewing Affective Pictures: An Integrated Data-Mining-Based Approach for Healthcare Applications"},{"id":19391816,"work_id":244635,"tagging_user_id":147862,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":8126464,"name":"Panagiotis Bamidis","title":"On the Classiﬁcation of Emotional Biosignals Evoked While Viewing Affective Pictures: An Integrated Data-Mining-Based Approach for Healthcare Applications"}],"downloadable_attachments":[],"slug":"On_the_Classification_of_Emotional_Biosignals_Evoked_While_Viewing_Affective_Pictures_An_Integrated_Data_Mining_Based_Approach_for_Healthcare_Applications","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":147862,"first_name":"Christos","middle_initials":null,"last_name":"Frantzidis","page_name":"ChristosFrantzidis","domain_name":"auth","created_at":"2010-03-20T11:24:43.263-07:00","display_name":"Christos Frantzidis","url":"https://auth.academia.edu/ChristosFrantzidis"},"attachments":[{"id":986924,"title":"On the Classiﬁcation of Emotional Biosignals Evoked While Viewing Affective Pictures: An Integrated Data-Mining-Based Approach for Healthcare Applications","file_type":"","scribd_thumbnail_url":"https://a.academia-assets.com/images/blank-paper.jpg","file_name":"","download_url":"https://www.academia.edu/attachments/986924/download_file","bulk_download_file_name":"On_the_Classification_of_Emotional_Biosi","bulk_download_url":"academia.edu"}],"research_interests":[],"urls":[{"id":4473266,"url":"http://ieeexplore.ieee.org/Xplore/defdeny.jsp?url=http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5373931\u0026userType=inst"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="15777486"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/15777486/Supporting_tele_health_and_AI_based_clinical_decision_making_with_sensor_data_fusion_and_semantic_interpretation_The_USEFIL_case_study"><img alt="Research paper thumbnail of Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study" class="work-thumbnail" src="https://attachments.academia-assets.com/42895486/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/15777486/Supporting_tele_health_and_AI_based_clinical_decision_making_with_sensor_data_fusion_and_semantic_interpretation_The_USEFIL_case_study">Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/CharalamposBratsas">Charalampos Bratsas</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/AntonisBillis">Antonis Billis</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/ChristosFrantzidis">Christos Frantzidis</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/Spyropoulos">C. Spyropoulos</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://piraeus.academia.edu/AlexanderArtikis">Alexander Artikis</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AArtikis">A. Artikis</a></span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="04e15f2f0275c167be2add74a5b31714" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42895486,"asset_id":15777486,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42895486/download_file?st=MTczMjQ1MDMzNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="15777486"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="15777486"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 15777486; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=15777486]").text(description); $(".js-view-count[data-work-id=15777486]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 15777486; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='15777486']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 15777486, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "04e15f2f0275c167be2add74a5b31714" } } $('.js-work-strip[data-work-id=15777486]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":15777486,"title":"Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":2012,"errors":{}}},"translated_abstract":null,"internal_url":"https://www.academia.edu/15777486/Supporting_tele_health_and_AI_based_clinical_decision_making_with_sensor_data_fusion_and_semantic_interpretation_The_USEFIL_case_study","translated_internal_url":"","created_at":"2015-09-16T14:18:43.196-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34968593,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":5919936,"work_id":15777486,"tagging_user_id":34968593,"tagged_user_id":25148612,"co_author_invite_id":null,"email":"p***s@gmail.com","display_order":0,"name":"Panagiotis Bamidis","title":"Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study"},{"id":5919961,"work_id":15777486,"tagging_user_id":34968593,"tagged_user_id":3806260,"co_author_invite_id":null,"email":"a***s@gmail.com","affiliation":"Aristotle University of Thessaloniki","display_order":4194304,"name":"Antonis Billis","title":"Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study"},{"id":5919976,"work_id":15777486,"tagging_user_id":34968593,"tagged_user_id":147862,"co_author_invite_id":null,"email":"c***s@gmail.com","affiliation":"Aristotle University of Thessaloniki","display_order":6291456,"name":"Christos Frantzidis","title":"Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study"},{"id":18150412,"work_id":15777486,"tagging_user_id":34968593,"tagged_user_id":33409838,"co_author_invite_id":null,"email":"c***s@iit.demokritos.gr","display_order":7340032,"name":"C. Spyropoulos","title":"Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study"},{"id":18150413,"work_id":15777486,"tagging_user_id":34968593,"tagged_user_id":12571190,"co_author_invite_id":null,"email":"s***k@gmail.com","affiliation":"National Centre of Scientific Research \"DEMOKRITOS\"","display_order":7864320,"name":"Stasinos Konstantopoulos","title":"Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study"},{"id":18150414,"work_id":15777486,"tagging_user_id":34968593,"tagged_user_id":32473776,"co_author_invite_id":null,"email":"a***s@gmail.com","affiliation":"University of Piraeus","display_order":8126464,"name":"Alexander Artikis","title":"Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study"},{"id":18150415,"work_id":15777486,"tagging_user_id":34968593,"tagged_user_id":34710736,"co_author_invite_id":null,"email":"v***s@iit.demokritos.gr","display_order":8257536,"name":"Vangelis Karkaletsis","title":"Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study"},{"id":18150416,"work_id":15777486,"tagging_user_id":34968593,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":8323072,"name":"Evdokimos Konstantinidis","title":"Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study"},{"id":20247288,"work_id":15777486,"tagging_user_id":3806260,"tagged_user_id":333541,"co_author_invite_id":null,"email":"c***t@gmail.com","affiliation":"Aristotle University of Thessaloniki","display_order":8355840,"name":"Bratsas Charalampos","title":"Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study"},{"id":22782324,"work_id":15777486,"tagging_user_id":34968593,"tagged_user_id":null,"co_author_invite_id":3024060,"email":"a***s@acm.org","display_order":8372224,"name":"Alexander Artikis","title":"Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study"},{"id":22782325,"work_id":15777486,"tagging_user_id":34968593,"tagged_user_id":51448532,"co_author_invite_id":1263319,"email":"a***s@iit.demokritos.gr","display_order":8380416,"name":"A. Artikis","title":"Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study"},{"id":22782326,"work_id":15777486,"tagging_user_id":34968593,"tagged_user_id":null,"co_author_invite_id":3679828,"email":"a***s@ic.ac.uk","display_order":8384512,"name":"Alexander Artikis","title":"Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study"}],"downloadable_attachments":[{"id":42895486,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/42895486/thumbnails/1.jpg","file_name":"Supporting_Tele-Health_and_AI-based_Clin20160221-15392-1x84kws.pdf","download_url":"https://www.academia.edu/attachments/42895486/download_file?st=MTczMjQ1MDMzNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Supporting_tele_health_and_AI_based_clin.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/42895486/Supporting_Tele-Health_and_AI-based_Clin20160221-15392-1x84kws-libre.pdf?1456051874=\u0026response-content-disposition=attachment%3B+filename%3DSupporting_tele_health_and_AI_based_clin.pdf\u0026Expires=1732453937\u0026Signature=FDLaqSU0aeb~Akb7McIRbDnVll2hULOPJ4tbMqIrvwPEo6Z78tzLRwGb-bqclQYvRqXn9Dxrit5uwCZVd4esU908XOgzHeaN0rEQHBd3SBMipcFvnZOEA~4KKLYvZhSkaGO9lktiOMfgFw11pmvsomZ3LJluq6SXHxFtdEhhrfZ5SClRgacm1ggDYzHrhJ6CUqjTFTYRX6lGu4cUNaqJH21U71crGlHZPCvFhB~MWwcIh3--fv1lMPOEZ3mxD7YTfAcgKYgx2QPLjOFRrOqV1u4vQe6YxOSoHrnX2DJo2yOuMPNFpCh1Sxgwv0vlj8k3yjHCyQ5NwptjKLIs5SMuCw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Supporting_tele_health_and_AI_based_clinical_decision_making_with_sensor_data_fusion_and_semantic_interpretation_The_USEFIL_case_study","translated_slug":"","page_count":68,"language":"en","content_type":"Work","owner":{"id":34968593,"first_name":"Charalampos","middle_initials":null,"last_name":"Bratsas","page_name":"CharalamposBratsas","domain_name":"auth","created_at":"2015-09-16T14:17:38.909-07:00","display_name":"Charalampos Bratsas","url":"https://auth.academia.edu/CharalamposBratsas"},"attachments":[{"id":42895486,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/42895486/thumbnails/1.jpg","file_name":"Supporting_Tele-Health_and_AI-based_Clin20160221-15392-1x84kws.pdf","download_url":"https://www.academia.edu/attachments/42895486/download_file?st=MTczMjQ1MDMzNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Supporting_tele_health_and_AI_based_clin.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/42895486/Supporting_Tele-Health_and_AI-based_Clin20160221-15392-1x84kws-libre.pdf?1456051874=\u0026response-content-disposition=attachment%3B+filename%3DSupporting_tele_health_and_AI_based_clin.pdf\u0026Expires=1732453937\u0026Signature=FDLaqSU0aeb~Akb7McIRbDnVll2hULOPJ4tbMqIrvwPEo6Z78tzLRwGb-bqclQYvRqXn9Dxrit5uwCZVd4esU908XOgzHeaN0rEQHBd3SBMipcFvnZOEA~4KKLYvZhSkaGO9lktiOMfgFw11pmvsomZ3LJluq6SXHxFtdEhhrfZ5SClRgacm1ggDYzHrhJ6CUqjTFTYRX6lGu4cUNaqJH21U71crGlHZPCvFhB~MWwcIh3--fv1lMPOEZ3mxD7YTfAcgKYgx2QPLjOFRrOqV1u4vQe6YxOSoHrnX2DJo2yOuMPNFpCh1Sxgwv0vlj8k3yjHCyQ5NwptjKLIs5SMuCw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":3521,"name":"Computational Intelligence","url":"https://www.academia.edu/Documents/in/Computational_Intelligence"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="239100"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/239100/On_the_classification_of_emotional_biosignals_evoked_while_viewing_affective_pictures_an_integrated_data_mining_based_approach_for_healthcare_applications"><img alt="Research paper thumbnail of On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data mining based approach for healthcare applications." class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/239100/On_the_classification_of_emotional_biosignals_evoked_while_viewing_affective_pictures_an_integrated_data_mining_based_approach_for_healthcare_applications">On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data mining based approach for healthcare applications.</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://cbs-mpg.academia.edu/mklados">Manousos A Klados</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://hms-harvard.academia.edu/ChristosPapadelis">Christos Papadelis</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Recent neuroscience findings demonstrate the fundamental role of emotion in the maintenance of ph...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Recent neuroscience findings demonstrate the fundamental role of emotion in the maintenance of physical and mental health. In the present study, a novel architecture is proposed for the robust discrimination of emotional physiological signals evoked upon viewing pictures selected from the International Affective Picture System (IAPS). Biosignals are multi-channel recordings from both the central and the autonomic nervous systems. Following the bi-directional emotion theory model, IAPS pictures are rated along two dimensions, namely, their valence and arousal. Following this model, biosignals in this paper are initially differentiated according to their valence dimension by means of a data mining approach, that is the C4.5 decision tree algorithm. Then, the valence and the gender information serve as an input to a Mahalanobis distance classifier, which dissects the data into high and low arousing. Results are described in XML format, thereby accounting for platform independency, easy inter-connectivity and information exchange. The average recognition (success) rate was 77.68% for the discrimination of four emotional states differing both in theirarousal and valence dimension. It is therefore, envisaged that the proposed approach holds promise for the efficient discrimination of negative and positive emotions and it is hereby discussed how future developments may be steered to serve for affective healthcare applications such as the monitoring of the elderly or chronically ill people.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1fa144c1307abbbd873bd8bd60975f1d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":958008,"asset_id":239100,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/958008/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="239100"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="239100"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 239100; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=239100]").text(description); $(".js-view-count[data-work-id=239100]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 239100; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='239100']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 239100, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "1fa144c1307abbbd873bd8bd60975f1d" } } $('.js-work-strip[data-work-id=239100]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":239100,"title":"On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data mining based approach for healthcare applications.","translated_title":"","metadata":{"abstract":"Recent neuroscience findings demonstrate the fundamental role of emotion in the maintenance of physical and mental health. In the present study, a novel architecture is proposed for the robust discrimination of emotional physiological signals evoked upon viewing pictures selected from the International Affective Picture System (IAPS). Biosignals are multi-channel recordings from both the central and the autonomic nervous systems. Following the bi-directional emotion theory model, IAPS pictures are rated along two dimensions, namely, their valence and arousal. Following this model, biosignals in this paper are initially differentiated according to their valence dimension by means of a data mining approach, that is the C4.5 decision tree algorithm. Then, the valence and the gender information serve as an input to a Mahalanobis distance classifier, which dissects the data into high and low arousing. Results are described in XML format, thereby accounting for platform independency, easy inter-connectivity and information exchange. The average recognition (success) rate was 77.68% for the discrimination of four emotional states differing both in theirarousal and valence dimension. It is therefore, envisaged that the proposed approach holds promise for the efficient discrimination of negative and positive emotions and it is hereby discussed how future developments may be steered to serve for affective healthcare applications such as the monitoring of the elderly or chronically ill people."},"translated_abstract":"Recent neuroscience findings demonstrate the fundamental role of emotion in the maintenance of physical and mental health. In the present study, a novel architecture is proposed for the robust discrimination of emotional physiological signals evoked upon viewing pictures selected from the International Affective Picture System (IAPS). Biosignals are multi-channel recordings from both the central and the autonomic nervous systems. Following the bi-directional emotion theory model, IAPS pictures are rated along two dimensions, namely, their valence and arousal. Following this model, biosignals in this paper are initially differentiated according to their valence dimension by means of a data mining approach, that is the C4.5 decision tree algorithm. Then, the valence and the gender information serve as an input to a Mahalanobis distance classifier, which dissects the data into high and low arousing. Results are described in XML format, thereby accounting for platform independency, easy inter-connectivity and information exchange. The average recognition (success) rate was 77.68% for the discrimination of four emotional states differing both in theirarousal and valence dimension. It is therefore, envisaged that the proposed approach holds promise for the efficient discrimination of negative and positive emotions and it is hereby discussed how future developments may be steered to serve for affective healthcare applications such as the monitoring of the elderly or chronically ill people.","internal_url":"https://www.academia.edu/239100/On_the_classification_of_emotional_biosignals_evoked_while_viewing_affective_pictures_an_integrated_data_mining_based_approach_for_healthcare_applications","translated_internal_url":"","created_at":"2010-05-24T17:10:38.418-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":190567,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":8191753,"work_id":239100,"tagging_user_id":190567,"tagged_user_id":34968593,"co_author_invite_id":null,"email":"c***s@math.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":0,"name":"Charalampos Bratsas","title":"On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data mining based approach for healthcare applications."},{"id":8191754,"work_id":239100,"tagging_user_id":190567,"tagged_user_id":34898140,"co_author_invite_id":null,"email":"k***i@med.duth.gr","affiliation":"Democritus University of Thrace","display_order":4194304,"name":"Eleni Kaldoudi","title":"On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data mining based approach for healthcare applications."},{"id":8191755,"work_id":239100,"tagging_user_id":190567,"tagged_user_id":5604114,"co_author_invite_id":null,"email":"c***s@childrens.harvard.edu","affiliation":"Harvard Medical School","display_order":6291456,"name":"Christos Papadelis","title":"On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data mining based approach for healthcare applications."},{"id":8191756,"work_id":239100,"tagging_user_id":190567,"tagged_user_id":333541,"co_author_invite_id":null,"email":"c***t@gmail.com","affiliation":"Aristotle University of Thessaloniki","display_order":7340032,"name":"Bratsas Charalampos","title":"On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data mining based approach for healthcare applications."},{"id":8191757,"work_id":239100,"tagging_user_id":190567,"tagged_user_id":147862,"co_author_invite_id":null,"email":"c***s@gmail.com","affiliation":"Aristotle University of Thessaloniki","display_order":7864320,"name":"Christos Frantzidis","title":"On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data mining based approach for healthcare applications."},{"id":17703988,"work_id":239100,"tagging_user_id":5604114,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":8126464,"name":"Evdokimos Konstantinidis","title":"On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data mining based approach for healthcare applications."},{"id":17704098,"work_id":239100,"tagging_user_id":5604114,"tagged_user_id":27485044,"co_author_invite_id":null,"email":"v***s@city.academic.gr","display_order":8257536,"name":"Ana Vivas","title":"On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data mining based approach for healthcare applications."},{"id":17704129,"work_id":239100,"tagging_user_id":5604114,"tagged_user_id":2054787,"co_author_invite_id":null,"email":"c***s@icps.edu.gr","affiliation":"ICPS - College for Humanistic Sciences","display_order":8323072,"name":"Constantinos Pappas","title":"On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data mining based approach for healthcare applications."},{"id":17704142,"work_id":239100,"tagging_user_id":5604114,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":8355840,"name":"Panagiotis Bamidis","title":"On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data mining based approach for healthcare applications."}],"downloadable_attachments":[],"slug":"On_the_classification_of_emotional_biosignals_evoked_while_viewing_affective_pictures_an_integrated_data_mining_based_approach_for_healthcare_applications","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":190567,"first_name":"Manousos","middle_initials":"A","last_name":"Klados","page_name":"mklados","domain_name":"cbs-mpg","created_at":"2010-05-24T17:01:01.717-07:00","display_name":"Manousos A Klados","url":"https://cbs-mpg.academia.edu/mklados"},"attachments":[{"id":958008,"title":"On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data mining based approach for healthcare applications.","file_type":"","scribd_thumbnail_url":"https://a.academia-assets.com/images/blank-paper.jpg","file_name":"","download_url":"https://www.academia.edu/attachments/958008/download_file","bulk_download_file_name":"On_the_classification_of_emotional_biosi","bulk_download_url":"academia.edu"}],"research_interests":[],"urls":[{"id":4471511,"url":"http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?reload=true\u0026arnumber=5373931"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="22045406"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/22045406/Integration_of_cognitive_and_physical_training_in_a_smart_home_environment_for_the_elderly_people"><img alt="Research paper thumbnail of Integration of cognitive and physical training in a smart home environment for the elderly people" class="work-thumbnail" src="https://attachments.academia-assets.com/42728265/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/22045406/Integration_of_cognitive_and_physical_training_in_a_smart_home_environment_for_the_elderly_people">Integration of cognitive and physical training in a smart home environment for the elderly people</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://tuwien.academia.edu/PaulPanek">Paul Panek</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/WalterHlauschek">Walter Hlauschek</a></span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f21d95ccff7029d24292e3864eb396de" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42728265,"asset_id":22045406,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42728265/download_file?st=MTczMjQ1MDMzNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="22045406"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="22045406"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 22045406; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=22045406]").text(description); $(".js-view-count[data-work-id=22045406]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 22045406; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='22045406']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 22045406, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "f21d95ccff7029d24292e3864eb396de" } } $('.js-work-strip[data-work-id=22045406]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":22045406,"title":"Integration of cognitive and physical training in a smart home environment for the elderly people","translated_title":"","metadata":{"grobid_abstract":"Our research work is towards a service that can support senior citizens towards their independent living and active ageing. As it is suggested, physical and cognitive exercise training can contribute to a significant prolongation of personal autonomy and participation in society across prevailing agerelated impairments such as cognitive decline. In the current paper, the approach of combination of both physical and cognitive training -adopted by LLM project -is discussed related to other similar projects that have taken place in the area of elderly home care and training. The aim of this work is to describe the technical design details of the integration process of the LLM service, which is based on a Web service architecture and to discuss alternative interface elements to be included in the LLM platform in terms of enabling user accessibility and acceptance.","publication_date":{"day":null,"month":null,"year":2010,"errors":{}},"grobid_abstract_attachment_id":42728265},"translated_abstract":null,"internal_url":"https://www.academia.edu/22045406/Integration_of_cognitive_and_physical_training_in_a_smart_home_environment_for_the_elderly_people","translated_internal_url":"","created_at":"2016-02-16T05:37:07.045-08:00","preview_url":null,"current_user_can_edit":false,"current_user_is_owner":null,"owner_id":10086055,"coauthors_can_edit":false,"document_type":"paper","co_author_tags":[{"id":17164846,"work_id":22045406,"tagging_user_id":10086055,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":0,"name":"Panagiotis Bamidis","title":"Integration of cognitive and physical training in a smart home environment for the elderly people"},{"id":17164847,"work_id":22045406,"tagging_user_id":10086055,"tagged_user_id":3806260,"co_author_invite_id":null,"email":"a***s@gmail.com","affiliation":"Aristotle University of Thessaloniki","display_order":4194304,"name":"Antonis Billis","title":"Integration of cognitive and physical training in a smart home environment for the elderly people"},{"id":17164848,"work_id":22045406,"tagging_user_id":10086055,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":6291456,"name":"Evdokimos Konstantinidis","title":"Integration of cognitive and physical training in a smart home environment for the elderly people"},{"id":17164864,"work_id":22045406,"tagging_user_id":10086055,"tagged_user_id":45014184,"co_author_invite_id":3222868,"email":"w***k@ceit.at","display_order":7340032,"name":"Walter Hlauschek","title":"Integration of cognitive and physical training in a smart home environment for the elderly people"}],"downloadable_attachments":[{"id":42728265,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/42728265/thumbnails/1.jpg","file_name":"Integration_of_cognitive_and_physical_tr20160216-11593-qtru5x.pdf","download_url":"https://www.academia.edu/attachments/42728265/download_file?st=MTczMjQ1MDMzNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Integration_of_cognitive_and_physical_tr.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/42728265/Integration_of_cognitive_and_physical_tr20160216-11593-qtru5x-libre.pdf?1455638295=\u0026response-content-disposition=attachment%3B+filename%3DIntegration_of_cognitive_and_physical_tr.pdf\u0026Expires=1732453937\u0026Signature=gWU8MgdMTXUHUeGYsOFVyGTeYnD2KlzKb5EH2NzfrIcUPOdCCyNy1YxVNAVE2fjRN1ZyAWuaJjtQYHkK~fkWuSn38rFhwb2xFOWm2fStJwj2P9vkg6HqMtKsg2izzRSjC1dtP7N-Zu00n0iGD3oOU0E92xSHpiH~r14RCPAeeVIj1e2o91UMDvBLGElGB3brDnwtMNmF~CKqEAhFuDJx36Ds6XZLuLG8wAmefOtpxtrqePV2KgxEQsB3H45tFKttiuNaUyxtzcvj4z3FFLxJcJiv~NluZG-l5k8~rS8OHzJJmZ2S8XDkrTMBdn90Urr-OgHWgkyWtE8Jeh7ikd9~Kg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Integration_of_cognitive_and_physical_training_in_a_smart_home_environment_for_the_elderly_people","translated_slug":"","page_count":5,"language":"en","content_type":"Work","owner":{"id":10086055,"first_name":"Paul","middle_initials":null,"last_name":"Panek","page_name":"PaulPanek","domain_name":"tuwien","created_at":"2014-03-14T05:49:23.031-07:00","display_name":"Paul Panek","url":"https://tuwien.academia.edu/PaulPanek"},"attachments":[{"id":42728265,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/42728265/thumbnails/1.jpg","file_name":"Integration_of_cognitive_and_physical_tr20160216-11593-qtru5x.pdf","download_url":"https://www.academia.edu/attachments/42728265/download_file?st=MTczMjQ1MDMzNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Integration_of_cognitive_and_physical_tr.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/42728265/Integration_of_cognitive_and_physical_tr20160216-11593-qtru5x-libre.pdf?1455638295=\u0026response-content-disposition=attachment%3B+filename%3DIntegration_of_cognitive_and_physical_tr.pdf\u0026Expires=1732453937\u0026Signature=gWU8MgdMTXUHUeGYsOFVyGTeYnD2KlzKb5EH2NzfrIcUPOdCCyNy1YxVNAVE2fjRN1ZyAWuaJjtQYHkK~fkWuSn38rFhwb2xFOWm2fStJwj2P9vkg6HqMtKsg2izzRSjC1dtP7N-Zu00n0iGD3oOU0E92xSHpiH~r14RCPAeeVIj1e2o91UMDvBLGElGB3brDnwtMNmF~CKqEAhFuDJx36Ds6XZLuLG8wAmefOtpxtrqePV2KgxEQsB3H45tFKttiuNaUyxtzcvj4z3FFLxJcJiv~NluZG-l5k8~rS8OHzJJmZ2S8XDkrTMBdn90Urr-OgHWgkyWtE8Jeh7ikd9~Kg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":7428,"name":"Health Education","url":"https://www.academia.edu/Documents/in/Health_Education"},{"id":48044,"name":"Greece","url":"https://www.academia.edu/Documents/in/Greece"},{"id":59587,"name":"Library and Information Studies","url":"https://www.academia.edu/Documents/in/Library_and_Information_Studies"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans"},{"id":101797,"name":"Cognitive Therapy","url":"https://www.academia.edu/Documents/in/Cognitive_Therapy"},{"id":111545,"name":"Male","url":"https://www.academia.edu/Documents/in/Male"},{"id":410370,"name":"Public health systems and services research","url":"https://www.academia.edu/Documents/in/Public_health_systems_and_services_research-1"},{"id":1191356,"name":"Internet","url":"https://www.academia.edu/Documents/in/Internet"},{"id":1524625,"name":"Home Care Services","url":"https://www.academia.edu/Documents/in/Home_Care_Services"},{"id":2060696,"name":"Health services for the aged","url":"https://www.academia.edu/Documents/in/Health_services_for_the_aged"}],"urls":[{"id":6763453,"url":"https://www.researchgate.net/profile/Evdokimos_Konstantinidis/publication/46273384_Integration_of_cognitive_and_physical_training_in_a_smart_home_environment_for_the_elderly_people/links/54d149680cf28959aa7acb76.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="231164"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/231164/An_automated_system_for_processing_electrodermal_activity"><img alt="Research paper thumbnail of An automated system for processing electrodermal activity " class="work-thumbnail" src="https://attachments.academia-assets.com/923776/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/231164/An_automated_system_for_processing_electrodermal_activity">An automated system for processing electrodermal activity </a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/ChristosFrantzidis">Christos Frantzidis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A new approach is presented in this paper for the display and processing of the electrodermal ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A new approach is presented in this paper for the display and processing <br />of  the  electrodermal  activity.  It  offers  a  fully  automated  interface  for  the  pre-<br />processing  and  for  scoring  individual  skin  conductance  responses  (SCRs).  The <br />application  supports  parallel  processing  by  means  of  multiple  threads.  Batch <br />processing  is  also  available.  The  XML  format  is  used  to  describe  the  derived <br />features. The system is employed to analyze emotion-related data.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="502fce0602af259e836ad9ebb400ddde" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":923776,"asset_id":231164,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/923776/download_file?st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="231164"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="231164"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 231164; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=231164]").text(description); $(".js-view-count[data-work-id=231164]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 231164; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='231164']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 231164, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "502fce0602af259e836ad9ebb400ddde" } } $('.js-work-strip[data-work-id=231164]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":231164,"title":"An automated system for processing electrodermal activity ","translated_title":"","metadata":{"abstract":"A new approach is presented in this paper for the display and processing \nof the electrodermal activity. It offers a fully automated interface for the pre-\nprocessing and for scoring individual skin conductance responses (SCRs). The \napplication supports parallel processing by means of multiple threads. Batch \nprocessing is also available. The XML format is used to describe the derived \nfeatures. The system is employed to analyze emotion-related data. ","more_info":"Studies in Health Technology and Informatics Volume 150, 2009 Medical Informatics in a United and Healthy Europe - Proceedings of MIE 2009 – The XXIInd International Congress of the European Federation for Medical Informatics Edited by Klaus-Peter Adlassnig, Bernd Blobel, John Mantas, Izet Masic ISBN 978-1-60750-044-5 DOI: 10.3233/978-1-60750-044-5-787"},"translated_abstract":"A new approach is presented in this paper for the display and processing \nof the electrodermal activity. It offers a fully automated interface for the pre-\nprocessing and for scoring individual skin conductance responses (SCRs). The \napplication supports parallel processing by means of multiple threads. Batch \nprocessing is also available. The XML format is used to describe the derived \nfeatures. The system is employed to analyze emotion-related data. ","internal_url":"https://www.academia.edu/231164/An_automated_system_for_processing_electrodermal_activity","translated_internal_url":"","created_at":"2010-04-25T01:06:46.833-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":147862,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":13787825,"work_id":231164,"tagging_user_id":147862,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":0,"name":"Evdokimos Konstantinidis","title":"An automated system for processing electrodermal activity "},{"id":19391814,"work_id":231164,"tagging_user_id":147862,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":4194304,"name":"Panagiotis Bamidis","title":"An automated system for processing electrodermal activity "}],"downloadable_attachments":[{"id":923776,"title":"An automated system for processing electrodermal activity ","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/923776/thumbnails/1.jpg","file_name":"or_submission-265.pdf","download_url":"https://www.academia.edu/attachments/923776/download_file?st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"An_automated_system_for_processing_elect.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/923776/or_submission-265-libre.pdf?1390587900=\u0026response-content-disposition=attachment%3B+filename%3DAn_automated_system_for_processing_elect.pdf\u0026Expires=1732453937\u0026Signature=Iasc9HlRtQZqx00EuyQr4oC8K-gYPu2r9enxW91T-LbiKgOsPFphPGj30Jrf8qbEQo~8BiGcANIQkpr1zLcyIAtNwcvhmUnjZnnvCWn62UszurFsKdhklo0cWJuM3kn9Se5LURS41AZXzqV0bI~cTNuO8ZistUnY5yzUyLXRhSpGR9gAiGLKR4gVAPfzRNsTDl-5wNBE-fQ0jS2RndcBkStxd1JRuV07Y0LITLGtZusorGb7LHCZDb5MZVQTggQZE~f2PZynkarnhXmRZQEuUJj881mVmb3352nc5ZmF5GlBejZop962-0d8-2ROR4MjkVJgCWmZZOd2S61PjYYk0g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"An_automated_system_for_processing_electrodermal_activity","translated_slug":"","page_count":2,"language":"en","content_type":"Work","owner":{"id":147862,"first_name":"Christos","middle_initials":null,"last_name":"Frantzidis","page_name":"ChristosFrantzidis","domain_name":"auth","created_at":"2010-03-20T11:24:43.263-07:00","display_name":"Christos Frantzidis","url":"https://auth.academia.edu/ChristosFrantzidis"},"attachments":[{"id":923776,"title":"An automated system for processing electrodermal activity ","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/923776/thumbnails/1.jpg","file_name":"or_submission-265.pdf","download_url":"https://www.academia.edu/attachments/923776/download_file?st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"An_automated_system_for_processing_elect.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/923776/or_submission-265-libre.pdf?1390587900=\u0026response-content-disposition=attachment%3B+filename%3DAn_automated_system_for_processing_elect.pdf\u0026Expires=1732453937\u0026Signature=Iasc9HlRtQZqx00EuyQr4oC8K-gYPu2r9enxW91T-LbiKgOsPFphPGj30Jrf8qbEQo~8BiGcANIQkpr1zLcyIAtNwcvhmUnjZnnvCWn62UszurFsKdhklo0cWJuM3kn9Se5LURS41AZXzqV0bI~cTNuO8ZistUnY5yzUyLXRhSpGR9gAiGLKR4gVAPfzRNsTDl-5wNBE-fQ0jS2RndcBkStxd1JRuV07Y0LITLGtZusorGb7LHCZDb5MZVQTggQZE~f2PZynkarnhXmRZQEuUJj881mVmb3352nc5ZmF5GlBejZop962-0d8-2ROR4MjkVJgCWmZZOd2S61PjYYk0g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="2618034" id="papers"><div class="js-work-strip profile--work_container" data-work-id="30687826"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/30687826/Framework_of_a_Collaborative_Audio_Analysis_and_Visualization_tool_for_Data_Journalists"><img alt="Research paper thumbnail of Framework of a Collaborative Audio Analysis and Visualization tool for Data Journalists" class="work-thumbnail" src="https://attachments.academia-assets.com/51129708/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/30687826/Framework_of_a_Collaborative_Audio_Analysis_and_Visualization_tool_for_Data_Journalists">Framework of a Collaborative Audio Analysis and Visualization tool for Data Journalists</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/AndreasVeglis">Andreas Veglis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">— This paper describes the design and development of RecApp, a mobile application for visualizati...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">— This paper describes the design and development of RecApp, a mobile application for visualization and collaborative analysis of journalistic data from audio collections. We try to identify the challenges to support a team of journalists in understanding and analyzing mobile audio data constructing semantic networks from text by collaborative visualization approach.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="135b7d9d3c3996de1e942e12a9e1a07c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":51129708,"asset_id":30687826,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/51129708/download_file?st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MDMzNCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="30687826"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="30687826"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 30687826; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=30687826]").text(description); $(".js-view-count[data-work-id=30687826]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 30687826; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='30687826']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 30687826, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "135b7d9d3c3996de1e942e12a9e1a07c" } } $('.js-work-strip[data-work-id=30687826]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":30687826,"title":"Framework of a Collaborative Audio Analysis and Visualization tool for Data Journalists","translated_title":"","metadata":{"abstract":"— This paper describes the design and development of RecApp, a mobile application for visualization and collaborative analysis of journalistic data from audio collections. We try to identify the challenges to support a team of journalists in understanding and analyzing mobile audio data constructing semantic networks from text by collaborative visualization approach.","more_info":"11th International Workshop on Semantic and Social Media Adaptation and Personalization","conference_end_date":{"day":21,"month":10,"year":2016,"errors":{}},"conference_start_date":{"day":20,"month":10,"year":2016,"errors":{}}},"translated_abstract":"— This paper describes the design and development of RecApp, a mobile application for visualization and collaborative analysis of journalistic data from audio collections. We try to identify the challenges to support a team of journalists in understanding and analyzing mobile audio data constructing semantic networks from text by collaborative visualization approach.","internal_url":"https://www.academia.edu/30687826/Framework_of_a_Collaborative_Audio_Analysis_and_Visualization_tool_for_Data_Journalists","translated_internal_url":"","created_at":"2016-12-31T02:34:49.868-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":43515,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":26845103,"work_id":30687826,"tagging_user_id":43515,"tagged_user_id":28744506,"co_author_invite_id":null,"email":"s***d@auth.gr","display_order":1,"name":"Efstathios Sidiropoulos","title":"Framework of a Collaborative Audio Analysis and Visualization tool for Data Journalists"},{"id":26845104,"work_id":30687826,"tagging_user_id":43515,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":2,"name":"Evdokimos Konstantinidis","title":"Framework of a Collaborative Audio Analysis and Visualization tool for Data Journalists"}],"downloadable_attachments":[{"id":51129708,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/51129708/thumbnails/1.jpg","file_name":"38_Sidiropoulos_et_al_PID4491661.pdf","download_url":"https://www.academia.edu/attachments/51129708/download_file?st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MDMzNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Framework_of_a_Collaborative_Audio_Analy.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/51129708/38_Sidiropoulos_et_al_PID4491661-libre.pdf?1483180785=\u0026response-content-disposition=attachment%3B+filename%3DFramework_of_a_Collaborative_Audio_Analy.pdf\u0026Expires=1732453934\u0026Signature=YMgXszUJTpnBciwBbsn8k0TBYFBtknlDU8g80dXzfd6xwAnsIXyly7dSORquXnnoZmhic0Yy50wM7cvekJXKmJ9kot-ZB-whyQDHinztl0cqSklQ6u--Jxuv6xPTMdY-lua54HxxsZwSgidXUjJ7q8bEV9WGbgipeYplESv63aF~VKjDAtHodWBKpQ5UphlEwFG7vvIKJYs7Lwk4pskfl-5JgSIOafMtf8lB758Qvzu-dM5G5IlXEABsluhCxIgOyZ5tTTTQ4WpDApKgwPl2LwT-mfHcYMym3RTaVMXOdERsrg2AUXjf~BK~3eWcKSFZTDX36D3x1Ncg6AmdRp~JGw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Framework_of_a_Collaborative_Audio_Analysis_and_Visualization_tool_for_Data_Journalists","translated_slug":"","page_count":5,"language":"en","content_type":"Work","owner":{"id":43515,"first_name":"Andreas","middle_initials":null,"last_name":"Veglis","page_name":"AndreasVeglis","domain_name":"auth","created_at":"2009-05-15T09:32:58.879-07:00","display_name":"Andreas Veglis","url":"https://auth.academia.edu/AndreasVeglis"},"attachments":[{"id":51129708,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/51129708/thumbnails/1.jpg","file_name":"38_Sidiropoulos_et_al_PID4491661.pdf","download_url":"https://www.academia.edu/attachments/51129708/download_file?st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MDMzNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Framework_of_a_Collaborative_Audio_Analy.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/51129708/38_Sidiropoulos_et_al_PID4491661-libre.pdf?1483180785=\u0026response-content-disposition=attachment%3B+filename%3DFramework_of_a_Collaborative_Audio_Analy.pdf\u0026Expires=1732453934\u0026Signature=YMgXszUJTpnBciwBbsn8k0TBYFBtknlDU8g80dXzfd6xwAnsIXyly7dSORquXnnoZmhic0Yy50wM7cvekJXKmJ9kot-ZB-whyQDHinztl0cqSklQ6u--Jxuv6xPTMdY-lua54HxxsZwSgidXUjJ7q8bEV9WGbgipeYplESv63aF~VKjDAtHodWBKpQ5UphlEwFG7vvIKJYs7Lwk4pskfl-5JgSIOafMtf8lB758Qvzu-dM5G5IlXEABsluhCxIgOyZ5tTTTQ4WpDApKgwPl2LwT-mfHcYMym3RTaVMXOdERsrg2AUXjf~BK~3eWcKSFZTDX36D3x1Ncg6AmdRp~JGw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":859,"name":"Communication","url":"https://www.academia.edu/Documents/in/Communication"},{"id":994,"name":"Journalism","url":"https://www.academia.edu/Documents/in/Journalism"},{"id":1440,"name":"Visualization","url":"https://www.academia.edu/Documents/in/Visualization"},{"id":180881,"name":"Data Journalism","url":"https://www.academia.edu/Documents/in/Data_Journalism"},{"id":274096,"name":"Comunicación Audiovisual","url":"https://www.academia.edu/Documents/in/Comunicaci%C3%B3n_Audiovisual"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="26974646"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/26974646/Internet_of_things_for_an_age_friendly_healthcare"><img alt="Research paper thumbnail of Internet of things for an age-friendly healthcare" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/26974646/Internet_of_things_for_an_age_friendly_healthcare">Internet of things for an age-friendly healthcare</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/GiorgosBamparopoulos">Giorgos Bamparopoulos</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item"><span>Studies in health technology and informatics</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In healthcare applications a large cohort of recent implementations utilises IoT-oriented infrast...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In healthcare applications a large cohort of recent implementations utilises IoT-oriented infrastructures (XMPP) as well as smart mobile devices as communication gateways. IoT characteristi Communication/Connectivity, Pervasive Computing and Ambient Intelligence, are all highly related to Active and Healthy Aging environments. This paper presents a new idea, that of IoT enabled devices which are directly connected to the IoT (a glucose meter is used as an example herein), complying with the XMPP messaging protocol and the incorporation of a recently released Controller Application Communication (CAC) framework for distributed, cross-platform communication. A web based exergaming platform and a disease management tool, provide the vehicles for the demonstration of the feasibility and the successful implementation and integration of the aforementioned infrastructure.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="26974646"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="26974646"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 26974646; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=26974646]").text(description); $(".js-view-count[data-work-id=26974646]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 26974646; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='26974646']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 26974646, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=26974646]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":26974646,"title":"Internet of things for an age-friendly healthcare","translated_title":"","metadata":{"abstract":"In healthcare applications a large cohort of recent implementations utilises IoT-oriented infrastructures (XMPP) as well as smart mobile devices as communication gateways. IoT characteristi Communication/Connectivity, Pervasive Computing and Ambient Intelligence, are all highly related to Active and Healthy Aging environments. This paper presents a new idea, that of IoT enabled devices which are directly connected to the IoT (a glucose meter is used as an example herein), complying with the XMPP messaging protocol and the incorporation of a recently released Controller Application Communication (CAC) framework for distributed, cross-platform communication. A web based exergaming platform and a disease management tool, provide the vehicles for the demonstration of the feasibility and the successful implementation and integration of the aforementioned infrastructure.","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Studies in health technology and informatics"},"translated_abstract":"In healthcare applications a large cohort of recent implementations utilises IoT-oriented infrastructures (XMPP) as well as smart mobile devices as communication gateways. IoT characteristi Communication/Connectivity, Pervasive Computing and Ambient Intelligence, are all highly related to Active and Healthy Aging environments. This paper presents a new idea, that of IoT enabled devices which are directly connected to the IoT (a glucose meter is used as an example herein), complying with the XMPP messaging protocol and the incorporation of a recently released Controller Application Communication (CAC) framework for distributed, cross-platform communication. A web based exergaming platform and a disease management tool, provide the vehicles for the demonstration of the feasibility and the successful implementation and integration of the aforementioned infrastructure.","internal_url":"https://www.academia.edu/26974646/Internet_of_things_for_an_age_friendly_healthcare","translated_internal_url":"","created_at":"2016-07-14T00:52:27.521-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":31796155,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":22381008,"work_id":26974646,"tagging_user_id":31796155,"tagged_user_id":3806260,"co_author_invite_id":null,"email":"a***s@gmail.com","affiliation":"Aristotle University of Thessaloniki","display_order":0,"name":"Antonis Billis","title":"Internet of things for an age-friendly healthcare"},{"id":22381010,"work_id":26974646,"tagging_user_id":31796155,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":4194304,"name":"Evdokimos Konstantinidis","title":"Internet of things for an age-friendly healthcare"}],"downloadable_attachments":[],"slug":"Internet_of_things_for_an_age_friendly_healthcare","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":31796155,"first_name":"Giorgos","middle_initials":null,"last_name":"Bamparopoulos","page_name":"GiorgosBamparopoulos","domain_name":"auth","created_at":"2015-06-02T09:09:37.321-07:00","display_name":"Giorgos Bamparopoulos","url":"https://auth.academia.edu/GiorgosBamparopoulos"},"attachments":[],"research_interests":[{"id":59587,"name":"Library and Information Studies","url":"https://www.academia.edu/Documents/in/Library_and_Information_Studies"},{"id":410370,"name":"Public health systems and services research","url":"https://www.academia.edu/Documents/in/Public_health_systems_and_services_research-1"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="26974645"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/26974645/A_lightweight_framework_for_transparent_cross_platform_communication_of_controller_data_in_ambient_assisted_living_environments"><img alt="Research paper thumbnail of A lightweight framework for transparent cross platform communication of controller data in ambient assisted living environments" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/26974645/A_lightweight_framework_for_transparent_cross_platform_communication_of_controller_data_in_ambient_assisted_living_environments">A lightweight framework for transparent cross platform communication of controller data in ambient assisted living environments</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/GiorgosBamparopoulos">Giorgos Bamparopoulos</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item"><span>Information Sciences</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Elderly support ambient assisted living environments are focal in healthcare computing. ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Elderly support ambient assisted living environments are focal in healthcare computing. Critical to their implementation is transparent integration of diverse hardware and its ubiquitous communication with multiple software components. Modern controllers (Wii family, Microsoft Kinect, Neurosky Mindwave) are especially useful in elderly smart homes, being used, for healthcare monitoring and exercise gaming interventions. Presented herein is a novel Controller Application Communication (CAC) framework for cross device, application independent transmission of controller data to multiple software components. For the first time, a framework supports multiple modern controllers concurrently communicating with multiple, device naïve, requesting applications, utilizing standard, real time, internet communication technologies, as opposed to current practices which focus merely on one device. The framework consists of uniform schemas for encapsulating controllers’ data and of services necessary for communicating these data to the requesting software components. The framework’s architecture is based on distributed computing principles, delegating server duties to use-site gateways for reducing main server load. This framework was utilized in the USEFIL project for simultaneous use of multiple controllers and sensors by different software components of the platform. The framework’s design principles align with the Internet of Things (IoT) paradigm. Future work, enriching this framework, aims to facilitate a more diverse controller set, adhering to an IoT architecture implementation, as well as, allowing on-demand online data streaming, thereby enabling interested parties to test algorithms with data from ecologically valid environments.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="26974645"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="26974645"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 26974645; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=26974645]").text(description); $(".js-view-count[data-work-id=26974645]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 26974645; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='26974645']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 26974645, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=26974645]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":26974645,"title":"A lightweight framework for transparent cross platform communication of controller data in ambient assisted living environments","translated_title":"","metadata":{"abstract":"ABSTRACT Elderly support ambient assisted living environments are focal in healthcare computing. Critical to their implementation is transparent integration of diverse hardware and its ubiquitous communication with multiple software components. Modern controllers (Wii family, Microsoft Kinect, Neurosky Mindwave) are especially useful in elderly smart homes, being used, for healthcare monitoring and exercise gaming interventions. Presented herein is a novel Controller Application Communication (CAC) framework for cross device, application independent transmission of controller data to multiple software components. For the first time, a framework supports multiple modern controllers concurrently communicating with multiple, device naïve, requesting applications, utilizing standard, real time, internet communication technologies, as opposed to current practices which focus merely on one device. The framework consists of uniform schemas for encapsulating controllers’ data and of services necessary for communicating these data to the requesting software components. The framework’s architecture is based on distributed computing principles, delegating server duties to use-site gateways for reducing main server load. This framework was utilized in the USEFIL project for simultaneous use of multiple controllers and sensors by different software components of the platform. The framework’s design principles align with the Internet of Things (IoT) paradigm. Future work, enriching this framework, aims to facilitate a more diverse controller set, adhering to an IoT architecture implementation, as well as, allowing on-demand online data streaming, thereby enabling interested parties to test algorithms with data from ecologically valid environments.","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Information Sciences"},"translated_abstract":"ABSTRACT Elderly support ambient assisted living environments are focal in healthcare computing. Critical to their implementation is transparent integration of diverse hardware and its ubiquitous communication with multiple software components. Modern controllers (Wii family, Microsoft Kinect, Neurosky Mindwave) are especially useful in elderly smart homes, being used, for healthcare monitoring and exercise gaming interventions. Presented herein is a novel Controller Application Communication (CAC) framework for cross device, application independent transmission of controller data to multiple software components. For the first time, a framework supports multiple modern controllers concurrently communicating with multiple, device naïve, requesting applications, utilizing standard, real time, internet communication technologies, as opposed to current practices which focus merely on one device. The framework consists of uniform schemas for encapsulating controllers’ data and of services necessary for communicating these data to the requesting software components. The framework’s architecture is based on distributed computing principles, delegating server duties to use-site gateways for reducing main server load. This framework was utilized in the USEFIL project for simultaneous use of multiple controllers and sensors by different software components of the platform. The framework’s design principles align with the Internet of Things (IoT) paradigm. Future work, enriching this framework, aims to facilitate a more diverse controller set, adhering to an IoT architecture implementation, as well as, allowing on-demand online data streaming, thereby enabling interested parties to test algorithms with data from ecologically valid environments.","internal_url":"https://www.academia.edu/26974645/A_lightweight_framework_for_transparent_cross_platform_communication_of_controller_data_in_ambient_assisted_living_environments","translated_internal_url":"","created_at":"2016-07-14T00:52:27.387-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":31796155,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":22381006,"work_id":26974645,"tagging_user_id":31796155,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":0,"name":"Panagiotis Bamidis","title":"A lightweight framework for transparent cross platform communication of controller data in ambient assisted living environments"},{"id":22381007,"work_id":26974645,"tagging_user_id":31796155,"tagged_user_id":null,"co_author_invite_id":2535317,"email":"p***o@med.duth.gr","display_order":4194304,"name":"P. Antoniou","title":"A lightweight framework for transparent cross platform communication of controller data in ambient assisted living environments"},{"id":22381009,"work_id":26974645,"tagging_user_id":31796155,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":6291456,"name":"Evdokimos Konstantinidis","title":"A lightweight framework for transparent cross platform communication of controller data in ambient assisted living environments"}],"downloadable_attachments":[],"slug":"A_lightweight_framework_for_transparent_cross_platform_communication_of_controller_data_in_ambient_assisted_living_environments","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":31796155,"first_name":"Giorgos","middle_initials":null,"last_name":"Bamparopoulos","page_name":"GiorgosBamparopoulos","domain_name":"auth","created_at":"2015-06-02T09:09:37.321-07:00","display_name":"Giorgos Bamparopoulos","url":"https://auth.academia.edu/GiorgosBamparopoulos"},"attachments":[],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction"},{"id":80414,"name":"Mathematical Sciences","url":"https://www.academia.edu/Documents/in/Mathematical_Sciences"},{"id":1348058,"name":"Information Sciences","url":"https://www.academia.edu/Documents/in/Information_Sciences"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="26974647"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/26974647/Transfering_full_body_exergames_from_desktop_applications_to_mobile_devices_The_role_of_the_Internet_of_Things"><img alt="Research paper thumbnail of Transfering full body exergames from desktop applications to mobile devices: The role of the Internet of Things" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/26974647/Transfering_full_body_exergames_from_desktop_applications_to_mobile_devices_The_role_of_the_Internet_of_Things">Transfering full body exergames from desktop applications to mobile devices: The role of the Internet of Things</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/GiorgosBamparopoulos">Giorgos Bamparopoulos</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item"><span>2015 International Conference on Interactive Mobile Communication Technologies and Learning (IMCL)</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="26974647"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="26974647"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 26974647; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=26974647]").text(description); $(".js-view-count[data-work-id=26974647]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 26974647; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='26974647']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 26974647, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=26974647]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":26974647,"title":"Transfering full body exergames from desktop applications to mobile devices: The role of the Internet of Things","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"2015 International Conference on Interactive Mobile Communication Technologies and Learning (IMCL)"},"translated_abstract":null,"internal_url":"https://www.academia.edu/26974647/Transfering_full_body_exergames_from_desktop_applications_to_mobile_devices_The_role_of_the_Internet_of_Things","translated_internal_url":"","created_at":"2016-07-14T00:52:27.656-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":31796155,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":22381011,"work_id":26974647,"tagging_user_id":31796155,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":0,"name":"Evdokimos Konstantinidis","title":"Transfering full body exergames from desktop applications to mobile devices: The role of the Internet of Things"}],"downloadable_attachments":[],"slug":"Transfering_full_body_exergames_from_desktop_applications_to_mobile_devices_The_role_of_the_Internet_of_Things","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":31796155,"first_name":"Giorgos","middle_initials":null,"last_name":"Bamparopoulos","page_name":"GiorgosBamparopoulos","domain_name":"auth","created_at":"2015-06-02T09:09:37.321-07:00","display_name":"Giorgos Bamparopoulos","url":"https://auth.academia.edu/GiorgosBamparopoulos"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="26974648"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/26974648/Introducing_Neuroberry_a_platform_for_pervasive_EEG_signaling_in_the_IoT_domain"><img alt="Research paper thumbnail of Introducing Neuroberry, a platform for pervasive EEG signaling in the IoT domain" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/26974648/Introducing_Neuroberry_a_platform_for_pervasive_EEG_signaling_in_the_IoT_domain">Introducing Neuroberry, a platform for pervasive EEG signaling in the IoT domain</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/GiorgosBamparopoulos">Giorgos Bamparopoulos</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item"><span>Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies"</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="26974648"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="26974648"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 26974648; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=26974648]").text(description); $(".js-view-count[data-work-id=26974648]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 26974648; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='26974648']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 26974648, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=26974648]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":26974648,"title":"Introducing Neuroberry, a platform for pervasive EEG signaling in the IoT domain","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare - \"Transforming healthcare through innovations in mobile and wireless technologies\""},"translated_abstract":null,"internal_url":"https://www.academia.edu/26974648/Introducing_Neuroberry_a_platform_for_pervasive_EEG_signaling_in_the_IoT_domain","translated_internal_url":"","created_at":"2016-07-14T00:52:27.775-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":31796155,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":22381012,"work_id":26974648,"tagging_user_id":31796155,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":0,"name":"Evdokimos Konstantinidis","title":"Introducing Neuroberry, a platform for pervasive EEG signaling in the IoT domain"}],"downloadable_attachments":[],"slug":"Introducing_Neuroberry_a_platform_for_pervasive_EEG_signaling_in_the_IoT_domain","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":31796155,"first_name":"Giorgos","middle_initials":null,"last_name":"Bamparopoulos","page_name":"GiorgosBamparopoulos","domain_name":"auth","created_at":"2015-06-02T09:09:37.321-07:00","display_name":"Giorgos Bamparopoulos","url":"https://auth.academia.edu/GiorgosBamparopoulos"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="25322297"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/25322297/Integrating_the_USEFIL_Assisted_Living_Platform_Observation_from_the_Field"><img alt="Research paper thumbnail of Integrating the USEFIL Assisted Living Platform; Observation from the Field" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/25322297/Integrating_the_USEFIL_Assisted_Living_Platform_Observation_from_the_Field">Integrating the USEFIL Assisted Living Platform; Observation from the Field</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/AntonisBillis">Antonis Billis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item"><span>IFMBE Proceedings</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="25322297"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="25322297"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25322297; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=25322297]").text(description); $(".js-view-count[data-work-id=25322297]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 25322297; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='25322297']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 25322297, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=25322297]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":25322297,"title":"Integrating the USEFIL Assisted Living Platform; Observation from the Field","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"IFMBE Proceedings"},"translated_abstract":null,"internal_url":"https://www.academia.edu/25322297/Integrating_the_USEFIL_Assisted_Living_Platform_Observation_from_the_Field","translated_internal_url":"","created_at":"2016-05-14T06:49:09.578-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":3806260,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":20247292,"work_id":25322297,"tagging_user_id":3806260,"tagged_user_id":30149002,"co_author_invite_id":null,"email":"p***t@gmail.com","display_order":0,"name":"Panagiotis Antoniou","title":"Integrating the USEFIL Assisted Living Platform; Observation from the Field"},{"id":20247305,"work_id":25322297,"tagging_user_id":3806260,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":4194304,"name":"Evdokimos Konstantinidis","title":"Integrating the USEFIL Assisted Living Platform; Observation from the Field"},{"id":20247316,"work_id":25322297,"tagging_user_id":3806260,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":6291456,"name":"Panagiotis Bamidis","title":"Integrating the USEFIL Assisted Living Platform; Observation from the Field"}],"downloadable_attachments":[],"slug":"Integrating_the_USEFIL_Assisted_Living_Platform_Observation_from_the_Field","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":3806260,"first_name":"Antonis","middle_initials":null,"last_name":"Billis","page_name":"AntonisBillis","domain_name":"auth","created_at":"2013-04-15T08:24:11.104-07:00","display_name":"Antonis Billis","url":"https://auth.academia.edu/AntonisBillis"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="25322295"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/25322295/Affective_computing_on_elderly_physical_and_cognitive_training_within_live_social_networks"><img alt="Research paper thumbnail of Affective computing on elderly physical and cognitive training within live social networks" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/25322295/Affective_computing_on_elderly_physical_and_cognitive_training_within_live_social_networks">Affective computing on elderly physical and cognitive training within live social networks</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/AntonisBillis">Antonis Billis</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Emotions play a key role in the user experience, in serious games developed for educatio...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Emotions play a key role in the user experience, in serious games developed for education, training, assessment, therapy or rehabilitation. Moreover, social network features were recently coined in as key elements for computer based cognitive and physical interventions. In this paper, it is argued that Affective Computing principles may be exploited to increases the motivation of senior users for such computer based interventions. A case study with quantitative results is drawn from the European Commission funded Long Lasting Memories project. Emphasis is placed on how affection, system usability and acceptance might be related to social interaction. Results provide a first evidence that there is indeed a link between how well the intervention and the system is liked when users are placed in groups thereby forming live social networks. It is imperative that such findings could be taken under consideration upon new exergaming designs incorporating social networking capacities over the web.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="25322295"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="25322295"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25322295; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=25322295]").text(description); $(".js-view-count[data-work-id=25322295]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 25322295; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='25322295']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 25322295, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=25322295]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":25322295,"title":"Affective computing on elderly physical and cognitive training within live social networks","translated_title":"","metadata":{"abstract":"ABSTRACT Emotions play a key role in the user experience, in serious games developed for education, training, assessment, therapy or rehabilitation. Moreover, social network features were recently coined in as key elements for computer based cognitive and physical interventions. In this paper, it is argued that Affective Computing principles may be exploited to increases the motivation of senior users for such computer based interventions. A case study with quantitative results is drawn from the European Commission funded Long Lasting Memories project. Emphasis is placed on how affection, system usability and acceptance might be related to social interaction. Results provide a first evidence that there is indeed a link between how well the intervention and the system is liked when users are placed in groups thereby forming live social networks. It is imperative that such findings could be taken under consideration upon new exergaming designs incorporating social networking capacities over the web.","publication_date":{"day":null,"month":null,"year":2012,"errors":{}}},"translated_abstract":"ABSTRACT Emotions play a key role in the user experience, in serious games developed for education, training, assessment, therapy or rehabilitation. Moreover, social network features were recently coined in as key elements for computer based cognitive and physical interventions. In this paper, it is argued that Affective Computing principles may be exploited to increases the motivation of senior users for such computer based interventions. A case study with quantitative results is drawn from the European Commission funded Long Lasting Memories project. Emphasis is placed on how affection, system usability and acceptance might be related to social interaction. Results provide a first evidence that there is indeed a link between how well the intervention and the system is liked when users are placed in groups thereby forming live social networks. It is imperative that such findings could be taken under consideration upon new exergaming designs incorporating social networking capacities over the web.","internal_url":"https://www.academia.edu/25322295/Affective_computing_on_elderly_physical_and_cognitive_training_within_live_social_networks","translated_internal_url":"","created_at":"2016-05-14T06:49:08.751-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":3806260,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":20247304,"work_id":25322295,"tagging_user_id":3806260,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":0,"name":"Evdokimos Konstantinidis","title":"Affective computing on elderly physical and cognitive training within live social networks"},{"id":20247314,"work_id":25322295,"tagging_user_id":3806260,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":4194304,"name":"Panagiotis Bamidis","title":"Affective computing on elderly physical and cognitive training within live social networks"}],"downloadable_attachments":[],"slug":"Affective_computing_on_elderly_physical_and_cognitive_training_within_live_social_networks","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":3806260,"first_name":"Antonis","middle_initials":null,"last_name":"Billis","page_name":"AntonisBillis","domain_name":"auth","created_at":"2013-04-15T08:24:11.104-07:00","display_name":"Antonis Billis","url":"https://auth.academia.edu/AntonisBillis"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="25322298"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/25322298/Reviewing_Home_Based_Assistive_Technologies"><img alt="Research paper thumbnail of Reviewing Home Based Assistive Technologies" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/25322298/Reviewing_Home_Based_Assistive_Technologies">Reviewing Home Based Assistive Technologies</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/AntonisBillis">Antonis Billis</a></span></div><div class="wp-workCard_item"><span>Handbook of Research on Innovations in the Diagnosis and Treatment of Dementia</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="25322298"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="25322298"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25322298; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=25322298]").text(description); $(".js-view-count[data-work-id=25322298]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 25322298; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='25322298']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 25322298, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=25322298]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":25322298,"title":"Reviewing Home Based Assistive Technologies","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Handbook of Research on Innovations in the Diagnosis and Treatment of Dementia"},"translated_abstract":null,"internal_url":"https://www.academia.edu/25322298/Reviewing_Home_Based_Assistive_Technologies","translated_internal_url":"","created_at":"2016-05-14T06:49:09.697-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":3806260,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":20247306,"work_id":25322298,"tagging_user_id":3806260,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":0,"name":"Evdokimos Konstantinidis","title":"Reviewing Home Based Assistive Technologies"},{"id":20247317,"work_id":25322298,"tagging_user_id":3806260,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":4194304,"name":"Panagiotis Bamidis","title":"Reviewing Home Based Assistive Technologies"}],"downloadable_attachments":[],"slug":"Reviewing_Home_Based_Assistive_Technologies","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":3806260,"first_name":"Antonis","middle_initials":null,"last_name":"Billis","page_name":"AntonisBillis","domain_name":"auth","created_at":"2013-04-15T08:24:11.104-07:00","display_name":"Antonis Billis","url":"https://auth.academia.edu/AntonisBillis"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="25322302"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/25322302/Internet_of_things_for_an_age_friendly_healthcare"><img alt="Research paper thumbnail of Internet of things for an age-friendly healthcare" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/25322302/Internet_of_things_for_an_age_friendly_healthcare">Internet of things for an age-friendly healthcare</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/AntonisBillis">Antonis Billis</a></span></div><div class="wp-workCard_item"><span>Studies in health technology and informatics</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In healthcare applications a large cohort of recent implementations utilises IoT-oriented infrast...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In healthcare applications a large cohort of recent implementations utilises IoT-oriented infrastructures (XMPP) as well as smart mobile devices as communication gateways. IoT characteristi Communication/Connectivity, Pervasive Computing and Ambient Intelligence, are all highly related to Active and Healthy Aging environments. This paper presents a new idea, that of IoT enabled devices which are directly connected to the IoT (a glucose meter is used as an example herein), complying with the XMPP messaging protocol and the incorporation of a recently released Controller Application Communication (CAC) framework for distributed, cross-platform communication. A web based exergaming platform and a disease management tool, provide the vehicles for the demonstration of the feasibility and the successful implementation and integration of the aforementioned infrastructure.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="25322302"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="25322302"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25322302; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=25322302]").text(description); $(".js-view-count[data-work-id=25322302]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 25322302; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='25322302']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 25322302, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=25322302]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":25322302,"title":"Internet of things for an age-friendly healthcare","translated_title":"","metadata":{"abstract":"In healthcare applications a large cohort of recent implementations utilises IoT-oriented infrastructures (XMPP) as well as smart mobile devices as communication gateways. IoT characteristi Communication/Connectivity, Pervasive Computing and Ambient Intelligence, are all highly related to Active and Healthy Aging environments. This paper presents a new idea, that of IoT enabled devices which are directly connected to the IoT (a glucose meter is used as an example herein), complying with the XMPP messaging protocol and the incorporation of a recently released Controller Application Communication (CAC) framework for distributed, cross-platform communication. A web based exergaming platform and a disease management tool, provide the vehicles for the demonstration of the feasibility and the successful implementation and integration of the aforementioned infrastructure.","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Studies in health technology and informatics"},"translated_abstract":"In healthcare applications a large cohort of recent implementations utilises IoT-oriented infrastructures (XMPP) as well as smart mobile devices as communication gateways. IoT characteristi Communication/Connectivity, Pervasive Computing and Ambient Intelligence, are all highly related to Active and Healthy Aging environments. This paper presents a new idea, that of IoT enabled devices which are directly connected to the IoT (a glucose meter is used as an example herein), complying with the XMPP messaging protocol and the incorporation of a recently released Controller Application Communication (CAC) framework for distributed, cross-platform communication. A web based exergaming platform and a disease management tool, provide the vehicles for the demonstration of the feasibility and the successful implementation and integration of the aforementioned infrastructure.","internal_url":"https://www.academia.edu/25322302/Internet_of_things_for_an_age_friendly_healthcare","translated_internal_url":"","created_at":"2016-05-14T06:49:10.375-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":3806260,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":20247308,"work_id":25322302,"tagging_user_id":3806260,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":0,"name":"Evdokimos Konstantinidis","title":"Internet of things for an age-friendly healthcare"},{"id":20247321,"work_id":25322302,"tagging_user_id":3806260,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":4194304,"name":"Panagiotis Bamidis","title":"Internet of things for an age-friendly healthcare"}],"downloadable_attachments":[],"slug":"Internet_of_things_for_an_age_friendly_healthcare","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":3806260,"first_name":"Antonis","middle_initials":null,"last_name":"Billis","page_name":"AntonisBillis","domain_name":"auth","created_at":"2013-04-15T08:24:11.104-07:00","display_name":"Antonis Billis","url":"https://auth.academia.edu/AntonisBillis"},"attachments":[],"research_interests":[{"id":59587,"name":"Library and Information Studies","url":"https://www.academia.edu/Documents/in/Library_and_Information_Studies"},{"id":410370,"name":"Public health systems and services research","url":"https://www.academia.edu/Documents/in/Public_health_systems_and_services_research-1"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="25322299"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/25322299/Exercise_Intensity_Forecasting"><img alt="Research paper thumbnail of Exercise Intensity Forecasting" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/25322299/Exercise_Intensity_Forecasting">Exercise Intensity Forecasting</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/AntonisBillis">Antonis Billis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item"><span>International Journal of E-Health and Medical Communications</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="25322299"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="25322299"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25322299; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=25322299]").text(description); $(".js-view-count[data-work-id=25322299]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 25322299; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='25322299']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 25322299, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=25322299]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":25322299,"title":"Exercise Intensity Forecasting","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"International Journal of E-Health and Medical Communications"},"translated_abstract":null,"internal_url":"https://www.academia.edu/25322299/Exercise_Intensity_Forecasting","translated_internal_url":"","created_at":"2016-05-14T06:49:09.836-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":3806260,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":20247293,"work_id":25322299,"tagging_user_id":3806260,"tagged_user_id":30149002,"co_author_invite_id":null,"email":"p***t@gmail.com","display_order":0,"name":"Panagiotis Antoniou","title":"Exercise Intensity Forecasting"},{"id":20247307,"work_id":25322299,"tagging_user_id":3806260,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":4194304,"name":"Evdokimos Konstantinidis","title":"Exercise Intensity Forecasting"},{"id":20247318,"work_id":25322299,"tagging_user_id":3806260,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":6291456,"name":"Panagiotis Bamidis","title":"Exercise Intensity Forecasting"}],"downloadable_attachments":[],"slug":"Exercise_Intensity_Forecasting","translated_slug":"","page_count":null,"language":"tl","content_type":"Work","owner":{"id":3806260,"first_name":"Antonis","middle_initials":null,"last_name":"Billis","page_name":"AntonisBillis","domain_name":"auth","created_at":"2013-04-15T08:24:11.104-07:00","display_name":"Antonis Billis","url":"https://auth.academia.edu/AntonisBillis"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="25322292"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/25322292/Leveraging_web_technologies_to_expose_multiple_contemporary_controller_input_in_smart_TV_rich_internet_applications_utilized_in_elderly_assisted_living_environments"><img alt="Research paper thumbnail of Leveraging web technologies to expose multiple contemporary controller input in smart TV rich internet applications utilized in elderly assisted living environments" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/25322292/Leveraging_web_technologies_to_expose_multiple_contemporary_controller_input_in_smart_TV_rich_internet_applications_utilized_in_elderly_assisted_living_environments">Leveraging web technologies to expose multiple contemporary controller input in smart TV rich internet applications utilized in elderly assisted living environments</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/AntonisBillis">Antonis Billis</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT This work describes a lightweight framework allowing internet applications to access con...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT This work describes a lightweight framework allowing internet applications to access controllers such as the Wii remote, Wii balance board and MS Kinect irrespective of proximity or configuration. This is achieved by utilizing predetermined schemas for encapsulating the controller information and transferring this data through standard internet communication technologies (RESTFUL services and Web Sockets) in platform independent, device naïve ways. These features of the framework provide Rich Internet Applications (RIAs) with ubiquitous access to sophisticated human computer interaction schemes for diverse uses. The proliferation of Smart TVs as central information hubs in elderly assisted living environments, along with the need for simple gesture control schemes for these demographics, provides one application of this framework. Thus, we demonstrate how this service can be incorporated for developing internet applications and how it can be utilized for providing intuitive interaction methods for RIAs deployed through Smart TVs in elderly assisted living environments.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="25322292"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="25322292"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25322292; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=25322292]").text(description); $(".js-view-count[data-work-id=25322292]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 25322292; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='25322292']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 25322292, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=25322292]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":25322292,"title":"Leveraging web technologies to expose multiple contemporary controller input in smart TV rich internet applications utilized in elderly assisted living environments","translated_title":"","metadata":{"abstract":"ABSTRACT This work describes a lightweight framework allowing internet applications to access controllers such as the Wii remote, Wii balance board and MS Kinect irrespective of proximity or configuration. This is achieved by utilizing predetermined schemas for encapsulating the controller information and transferring this data through standard internet communication technologies (RESTFUL services and Web Sockets) in platform independent, device naïve ways. These features of the framework provide Rich Internet Applications (RIAs) with ubiquitous access to sophisticated human computer interaction schemes for diverse uses. The proliferation of Smart TVs as central information hubs in elderly assisted living environments, along with the need for simple gesture control schemes for these demographics, provides one application of this framework. Thus, we demonstrate how this service can be incorporated for developing internet applications and how it can be utilized for providing intuitive interaction methods for RIAs deployed through Smart TVs in elderly assisted living environments.","publication_date":{"day":null,"month":null,"year":2014,"errors":{}}},"translated_abstract":"ABSTRACT This work describes a lightweight framework allowing internet applications to access controllers such as the Wii remote, Wii balance board and MS Kinect irrespective of proximity or configuration. This is achieved by utilizing predetermined schemas for encapsulating the controller information and transferring this data through standard internet communication technologies (RESTFUL services and Web Sockets) in platform independent, device naïve ways. These features of the framework provide Rich Internet Applications (RIAs) with ubiquitous access to sophisticated human computer interaction schemes for diverse uses. The proliferation of Smart TVs as central information hubs in elderly assisted living environments, along with the need for simple gesture control schemes for these demographics, provides one application of this framework. Thus, we demonstrate how this service can be incorporated for developing internet applications and how it can be utilized for providing intuitive interaction methods for RIAs deployed through Smart TVs in elderly assisted living environments.","internal_url":"https://www.academia.edu/25322292/Leveraging_web_technologies_to_expose_multiple_contemporary_controller_input_in_smart_TV_rich_internet_applications_utilized_in_elderly_assisted_living_environments","translated_internal_url":"","created_at":"2016-05-14T06:49:08.430-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":3806260,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":20247301,"work_id":25322292,"tagging_user_id":3806260,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":0,"name":"Evdokimos Konstantinidis","title":"Leveraging web technologies to expose multiple contemporary controller input in smart TV rich internet applications utilized in elderly assisted living environments"},{"id":20247311,"work_id":25322292,"tagging_user_id":3806260,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":4194304,"name":"Panagiotis Bamidis","title":"Leveraging web technologies to expose multiple contemporary controller input in smart TV rich internet applications utilized in elderly assisted living environments"}],"downloadable_attachments":[],"slug":"Leveraging_web_technologies_to_expose_multiple_contemporary_controller_input_in_smart_TV_rich_internet_applications_utilized_in_elderly_assisted_living_environments","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":3806260,"first_name":"Antonis","middle_initials":null,"last_name":"Billis","page_name":"AntonisBillis","domain_name":"auth","created_at":"2013-04-15T08:24:11.104-07:00","display_name":"Antonis Billis","url":"https://auth.academia.edu/AntonisBillis"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="25322291"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/25322291/Usability_of_a_cognitive_Gradior_and_physical_training_program_based_in_new_software_technologies_in_patients_with_mild_dementia_mild_cognitive_impairment_and_healthy_elderly_people_Long_Lasting_Memories_preliminary_findings"><img alt="Research paper thumbnail of Usability of a cognitive (Gradior) and physical training program based in new software technologies in patients with mild dementia, mild cognitive impairment and healthy elderly people: Long Lasting Memories preliminary findings" class="work-thumbnail" src="https://attachments.academia-assets.com/45702304/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/25322291/Usability_of_a_cognitive_Gradior_and_physical_training_program_based_in_new_software_technologies_in_patients_with_mild_dementia_mild_cognitive_impairment_and_healthy_elderly_people_Long_Lasting_Memories_preliminary_findings">Usability of a cognitive (Gradior) and physical training program based in new software technologies in patients with mild dementia, mild cognitive impairment and healthy elderly people: Long Lasting Memories preliminary findings</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/AntonisBillis">Antonis Billis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item"><span>Neuroscience Letters</span><span>, 2011</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ac866644fc37e516c8ea36315c3dbaf9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":45702304,"asset_id":25322291,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/45702304/download_file?st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MDMzNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="25322291"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="25322291"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25322291; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=25322291]").text(description); $(".js-view-count[data-work-id=25322291]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 25322291; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='25322291']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 25322291, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "ac866644fc37e516c8ea36315c3dbaf9" } } $('.js-work-strip[data-work-id=25322291]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":25322291,"title":"Usability of a cognitive (Gradior) and physical training program based in new software technologies in patients with mild dementia, mild cognitive impairment and healthy elderly people: Long Lasting Memories preliminary findings","translated_title":"","metadata":{"grobid_abstract":"Abstracts of SAN Meeting / Neuroscience Letters 500S (2011) e1-e54 combined CT and PT using a computer interface. The sessions were lasting for 2 h and were run in a 5 days/week basis and were implemented in 3 community centers.","publication_date":{"day":null,"month":null,"year":2011,"errors":{}},"publication_name":"Neuroscience Letters","grobid_abstract_attachment_id":45702304},"translated_abstract":null,"internal_url":"https://www.academia.edu/25322291/Usability_of_a_cognitive_Gradior_and_physical_training_program_based_in_new_software_technologies_in_patients_with_mild_dementia_mild_cognitive_impairment_and_healthy_elderly_people_Long_Lasting_Memories_preliminary_findings","translated_internal_url":"","created_at":"2016-05-14T06:49:08.032-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":3806260,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":20247283,"work_id":25322291,"tagging_user_id":3806260,"tagged_user_id":null,"co_author_invite_id":3872514,"email":"m***o@uah.es","display_order":0,"name":"Manuel Franco","title":"Usability of a cognitive (Gradior) and physical training program based in new software technologies in patients with mild dementia, mild cognitive impairment and healthy elderly people: Long Lasting Memories preliminary findings"},{"id":20247284,"work_id":25322291,"tagging_user_id":3806260,"tagged_user_id":27626290,"co_author_invite_id":null,"email":"a***s@seerc.org","affiliation":"CITY College, University of York Europe Campus","display_order":4194304,"name":"Aristea I . Ladas","title":"Usability of a cognitive (Gradior) and physical training program based in new software technologies in patients with mild dementia, mild cognitive impairment and healthy elderly people: Long Lasting Memories preliminary findings"},{"id":20247295,"work_id":25322291,"tagging_user_id":3806260,"tagged_user_id":147862,"co_author_invite_id":null,"email":"c***s@gmail.com","affiliation":"Aristotle University of Thessaloniki","display_order":6291456,"name":"Christos Frantzidis","title":"Usability of a cognitive (Gradior) and physical training program based in new software technologies in patients with mild dementia, mild cognitive impairment and healthy elderly people: Long Lasting Memories preliminary findings"},{"id":20247300,"work_id":25322291,"tagging_user_id":3806260,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":7340032,"name":"Evdokimos Konstantinidis","title":"Usability of a cognitive (Gradior) and physical training program based in new software technologies in patients with mild dementia, mild cognitive impairment and healthy elderly people: Long Lasting Memories preliminary findings"},{"id":20247310,"work_id":25322291,"tagging_user_id":3806260,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":7864320,"name":"Panagiotis Bamidis","title":"Usability of a cognitive (Gradior) and physical training program based in new software technologies in patients with mild dementia, mild cognitive impairment and healthy elderly people: Long Lasting Memories preliminary findings"}],"downloadable_attachments":[{"id":45702304,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/45702304/thumbnails/1.jpg","file_name":"j.neulet.2011.05.07920160517-21154-1afxfmb.pdf","download_url":"https://www.academia.edu/attachments/45702304/download_file?st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MDMzNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Usability_of_a_cognitive_Gradior_and_phy.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/45702304/j.neulet.2011.05.07920160517-21154-1afxfmb-libre.pdf?1463481097=\u0026response-content-disposition=attachment%3B+filename%3DUsability_of_a_cognitive_Gradior_and_phy.pdf\u0026Expires=1732453935\u0026Signature=Oz68DD4Z-N3lQeCYrxbG-px5si7ZGvLgMzoaDftNRg7O-Z-of7AinFWIfKQWisNy7hs7cATXvM1-Q47c-YWuiENeI8NMDVzAVjlDKSZzgwgYSvrUYjBr7zMtW5qD0Is80iidKgFrH-XbjxDjpnzS02cw2FoKyF-2aUtNrQIiiJ1i4uKw4vRFzctHTe26KUYBawvW4Ea5FSEfrzPmlDfSJoCz-Mdv0cHMbEG9lStG16zfuCcNm0YxtQz6DOsFRmw2WKrqgDvw3iWDw8Se-sPD2zhrUaQ~5J8nmMkZye~tUtUxhh3Amy9vzkpBFhCsoIDtZRVngNeMSkygaMkShNFXLA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Usability_of_a_cognitive_Gradior_and_physical_training_program_based_in_new_software_technologies_in_patients_with_mild_dementia_mild_cognitive_impairment_and_healthy_elderly_people_Long_Lasting_Memories_preliminary_findings","translated_slug":"","page_count":1,"language":"en","content_type":"Work","owner":{"id":3806260,"first_name":"Antonis","middle_initials":null,"last_name":"Billis","page_name":"AntonisBillis","domain_name":"auth","created_at":"2013-04-15T08:24:11.104-07:00","display_name":"Antonis Billis","url":"https://auth.academia.edu/AntonisBillis"},"attachments":[{"id":45702304,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/45702304/thumbnails/1.jpg","file_name":"j.neulet.2011.05.07920160517-21154-1afxfmb.pdf","download_url":"https://www.academia.edu/attachments/45702304/download_file?st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MDMzNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Usability_of_a_cognitive_Gradior_and_phy.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/45702304/j.neulet.2011.05.07920160517-21154-1afxfmb-libre.pdf?1463481097=\u0026response-content-disposition=attachment%3B+filename%3DUsability_of_a_cognitive_Gradior_and_phy.pdf\u0026Expires=1732453935\u0026Signature=Oz68DD4Z-N3lQeCYrxbG-px5si7ZGvLgMzoaDftNRg7O-Z-of7AinFWIfKQWisNy7hs7cATXvM1-Q47c-YWuiENeI8NMDVzAVjlDKSZzgwgYSvrUYjBr7zMtW5qD0Is80iidKgFrH-XbjxDjpnzS02cw2FoKyF-2aUtNrQIiiJ1i4uKw4vRFzctHTe26KUYBawvW4Ea5FSEfrzPmlDfSJoCz-Mdv0cHMbEG9lStG16zfuCcNm0YxtQz6DOsFRmw2WKrqgDvw3iWDw8Se-sPD2zhrUaQ~5J8nmMkZye~tUtUxhh3Amy9vzkpBFhCsoIDtZRVngNeMSkygaMkShNFXLA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science"},{"id":8971,"name":"Mild Cognitive Impairment","url":"https://www.academia.edu/Documents/in/Mild_Cognitive_Impairment"},{"id":88908,"name":"Elderly People","url":"https://www.academia.edu/Documents/in/Elderly_People"},{"id":1014845,"name":"Physical Training","url":"https://www.academia.edu/Documents/in/Physical_Training"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="25322294"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/25322294/A_preliminary_fuzzy_cognitive_map_Based_desicion_support_tool_for_geriatric_depression_assessment"><img alt="Research paper thumbnail of A preliminary fuzzy cognitive map - Based desicion support tool for geriatric depression assessment" class="work-thumbnail" src="https://attachments.academia-assets.com/45621269/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/25322294/A_preliminary_fuzzy_cognitive_map_Based_desicion_support_tool_for_geriatric_depression_assessment">A preliminary fuzzy cognitive map - Based desicion support tool for geriatric depression assessment</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/AntonisBillis">Antonis Billis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9cf6fc218cf5318c60dc714af0b8b3c1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":45621269,"asset_id":25322294,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/45621269/download_file?st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MDMzNiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="25322294"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="25322294"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25322294; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=25322294]").text(description); $(".js-view-count[data-work-id=25322294]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 25322294; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='25322294']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 25322294, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "9cf6fc218cf5318c60dc714af0b8b3c1" } } $('.js-work-strip[data-work-id=25322294]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":25322294,"title":"A preliminary fuzzy cognitive map - Based desicion support tool for geriatric depression assessment","translated_title":"","metadata":{"grobid_abstract":"Dramatic changes in the demographic situation across western countries suggest that new policies towards elderly healthcare should be followed. Among these, timely detection and forecasting of early signs of pathological physical, cognitive or emotional health is of paramount importance, since it will allow for certain medicative strategies to be applied. The USEFIL project as such, aims at developing services that would contribute to the prolongation of seniors' independent living and support them during their daily life activities. An unobtrusive sensor network along with several intelligent processing algorithms will result to a better understanding of the senior population health course.","publication_date":{"day":null,"month":null,"year":2013,"errors":{}},"grobid_abstract_attachment_id":45621269},"translated_abstract":null,"internal_url":"https://www.academia.edu/25322294/A_preliminary_fuzzy_cognitive_map_Based_desicion_support_tool_for_geriatric_depression_assessment","translated_internal_url":"","created_at":"2016-05-14T06:49:08.647-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":3806260,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":20247291,"work_id":25322294,"tagging_user_id":3806260,"tagged_user_id":null,"co_author_invite_id":822107,"email":"e***u@teiste.gr","display_order":0,"name":"Elpiniki Papageorgiou","title":"A preliminary fuzzy cognitive map - Based desicion support tool for geriatric depression assessment"},{"id":20247297,"work_id":25322294,"tagging_user_id":3806260,"tagged_user_id":147862,"co_author_invite_id":null,"email":"c***s@gmail.com","affiliation":"Aristotle University of Thessaloniki","display_order":4194304,"name":"Christos Frantzidis","title":"A preliminary fuzzy cognitive map - Based desicion support tool for geriatric depression assessment"},{"id":20247303,"work_id":25322294,"tagging_user_id":3806260,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":6291456,"name":"Evdokimos Konstantinidis","title":"A preliminary fuzzy cognitive map - Based desicion support tool for geriatric depression assessment"},{"id":20247313,"work_id":25322294,"tagging_user_id":3806260,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":7340032,"name":"Panagiotis Bamidis","title":"A preliminary fuzzy cognitive map - Based desicion support tool for geriatric depression assessment"}],"downloadable_attachments":[{"id":45621269,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/45621269/thumbnails/1.jpg","file_name":"A_preliminary_fuzzy_cognitive_map_-_base20160514-28594-zcwdls.pdf","download_url":"https://www.academia.edu/attachments/45621269/download_file?st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MDMzNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_preliminary_fuzzy_cognitive_map_Based.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/45621269/A_preliminary_fuzzy_cognitive_map_-_base20160514-28594-zcwdls-libre.pdf?1463234093=\u0026response-content-disposition=attachment%3B+filename%3DA_preliminary_fuzzy_cognitive_map_Based.pdf\u0026Expires=1732453936\u0026Signature=IFwd3nsE4pVF1KLXLPQDD8nufPV3zb~6BkwdRuHkas9JEkcw1S3HswLWlc6Oaz7nnCOX2qhmTnYn4VRYNgE7jdcMaT1~WevUB7lI6uag3HR-sEz1rwrLWp6XfZ~9iPaCOkR8RVuoEZWLcnYYl8-cX-mxGurdyXFUFP1E3BxEbJF899xJG3Rlx0NLjl9AAfHBixKxWWhEvPFDTHbzn~OwJDFylWR5O8JLnNm~wp2wcPqrRzkuVAD1Pz-XSbHuEeMyBTk5dgMPlpyalUZn84bMtlQAEZhulCX2-tY~G4WKtHdXXJE15iED5zPJzy6YEsOR730v6-Ma3BR~HEcwL63cdA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_preliminary_fuzzy_cognitive_map_Based_desicion_support_tool_for_geriatric_depression_assessment","translated_slug":"","page_count":8,"language":"en","content_type":"Work","owner":{"id":3806260,"first_name":"Antonis","middle_initials":null,"last_name":"Billis","page_name":"AntonisBillis","domain_name":"auth","created_at":"2013-04-15T08:24:11.104-07:00","display_name":"Antonis Billis","url":"https://auth.academia.edu/AntonisBillis"},"attachments":[{"id":45621269,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/45621269/thumbnails/1.jpg","file_name":"A_preliminary_fuzzy_cognitive_map_-_base20160514-28594-zcwdls.pdf","download_url":"https://www.academia.edu/attachments/45621269/download_file?st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MDMzNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_preliminary_fuzzy_cognitive_map_Based.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/45621269/A_preliminary_fuzzy_cognitive_map_-_base20160514-28594-zcwdls-libre.pdf?1463234093=\u0026response-content-disposition=attachment%3B+filename%3DA_preliminary_fuzzy_cognitive_map_Based.pdf\u0026Expires=1732453936\u0026Signature=IFwd3nsE4pVF1KLXLPQDD8nufPV3zb~6BkwdRuHkas9JEkcw1S3HswLWlc6Oaz7nnCOX2qhmTnYn4VRYNgE7jdcMaT1~WevUB7lI6uag3HR-sEz1rwrLWp6XfZ~9iPaCOkR8RVuoEZWLcnYYl8-cX-mxGurdyXFUFP1E3BxEbJF899xJG3Rlx0NLjl9AAfHBixKxWWhEvPFDTHbzn~OwJDFylWR5O8JLnNm~wp2wcPqrRzkuVAD1Pz-XSbHuEeMyBTk5dgMPlpyalUZn84bMtlQAEZhulCX2-tY~G4WKtHdXXJE15iED5zPJzy6YEsOR730v6-Ma3BR~HEcwL63cdA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="3293985"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/3293985/A_Web_services_based_exergaming_platform_for_senior_citizens_The_long_lasting_memories_project_approach_to_e_health_care"><img alt="Research paper thumbnail of A Web services-based exergaming platform for senior citizens: The long lasting memories project approach to e-health care" class="work-thumbnail" src="https://attachments.academia-assets.com/50360228/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/3293985/A_Web_services_based_exergaming_platform_for_senior_citizens_The_long_lasting_memories_project_approach_to_e_health_care">A Web services-based exergaming platform for senior citizens: The long lasting memories project approach to e-health care</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/AntonisBillis">Antonis Billis</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://cut.academia.edu/EfthyvoulosKyriacou">Efthyvoulos Kyriacou</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/MagdaTsolaki">Magda Tsolaki</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This piece of research describes an innovative e-health service that supports the cognitive and p...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This piece of research describes an innovative e-health service that supports the cognitive and physical training of senior citizens and promotes their active ageing. The approach is adopted by the Long Lasting Memories (LLM) project, elements of which are discussed herein in the light of the functionalities provided to the users and the therapists. The aim of this work is to describe those technical elements that demonstrate the unique and integrative character of the LLM service, which is based on a modular Web service architecture, rendering the system available in different settings like the homes of seniors. The underlying database as well as the remote user interface empower therapists to set personalized training schemes, to view the progress of training sessions, as well as, adding new games and exercises into the system, thereby increasing the services sustainability and marketability.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="21e0adb5326bbe039d913369690e4b06" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":50360228,"asset_id":3293985,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/50360228/download_file?st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MDMzNiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="3293985"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="3293985"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 3293985; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=3293985]").text(description); $(".js-view-count[data-work-id=3293985]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 3293985; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='3293985']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 3293985, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "21e0adb5326bbe039d913369690e4b06" } } $('.js-work-strip[data-work-id=3293985]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":3293985,"title":"A Web services-based exergaming platform for senior citizens: The long lasting memories project approach to e-health care","translated_title":"","metadata":{"abstract":"This piece of research describes an innovative e-health service that supports the cognitive and physical training of senior citizens and promotes their active ageing. The approach is adopted by the Long Lasting Memories (LLM) project, elements of which are discussed herein in the light of the functionalities provided to the users and the therapists. The aim of this work is to describe those technical elements that demonstrate the unique and integrative character of the LLM service, which is based on a modular Web service architecture, rendering the system available in different settings like the homes of seniors. The underlying database as well as the remote user interface empower therapists to set personalized training schemes, to view the progress of training sessions, as well as, adding new games and exercises into the system, thereby increasing the services sustainability and marketability.","publication_date":{"day":null,"month":null,"year":2011,"errors":{}}},"translated_abstract":"This piece of research describes an innovative e-health service that supports the cognitive and physical training of senior citizens and promotes their active ageing. The approach is adopted by the Long Lasting Memories (LLM) project, elements of which are discussed herein in the light of the functionalities provided to the users and the therapists. The aim of this work is to describe those technical elements that demonstrate the unique and integrative character of the LLM service, which is based on a modular Web service architecture, rendering the system available in different settings like the homes of seniors. The underlying database as well as the remote user interface empower therapists to set personalized training schemes, to view the progress of training sessions, as well as, adding new games and exercises into the system, thereby increasing the services sustainability and marketability.","internal_url":"https://www.academia.edu/3293985/A_Web_services_based_exergaming_platform_for_senior_citizens_The_long_lasting_memories_project_approach_to_e_health_care","translated_internal_url":"","created_at":"2013-04-15T08:28:55.925-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":3806260,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":20247276,"work_id":3293985,"tagging_user_id":3806260,"tagged_user_id":33202420,"co_author_invite_id":null,"email":"e***u@frederick.ac.cy","affiliation":"Cyprus University of Technology","display_order":4194304,"name":"Efthyvoulos Kyriacou","title":"A Web services-based exergaming platform for senior citizens: The long lasting memories project approach to e-health care"},{"id":20247277,"work_id":3293985,"tagging_user_id":3806260,"tagged_user_id":32632997,"co_author_invite_id":null,"email":"t***m@med.auth.gr","display_order":6291456,"name":"Magda Tsolaki","title":"A Web services-based exergaming platform for senior citizens: The long lasting memories project approach to e-health care"},{"id":20247278,"work_id":3293985,"tagging_user_id":3806260,"tagged_user_id":45014184,"co_author_invite_id":null,"email":"w***k@ceit.at","display_order":7340032,"name":"Walter Hlauschek","title":"A Web services-based exergaming platform for senior citizens: The long lasting memories project approach to e-health care"},{"id":20247294,"work_id":3293985,"tagging_user_id":3806260,"tagged_user_id":147862,"co_author_invite_id":null,"email":"c***s@gmail.com","affiliation":"Aristotle University of Thessaloniki","display_order":7864320,"name":"Christos Frantzidis","title":"A Web services-based exergaming platform for senior citizens: The long lasting memories project approach to e-health care"},{"id":20247299,"work_id":3293985,"tagging_user_id":3806260,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":8126464,"name":"Evdokimos Konstantinidis","title":"A Web services-based exergaming platform for senior citizens: The long lasting memories project approach to e-health care"},{"id":20247309,"work_id":3293985,"tagging_user_id":3806260,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":8257536,"name":"Panagiotis Bamidis","title":"A Web services-based exergaming platform for senior citizens: The long lasting memories project approach to e-health care"},{"id":24194999,"work_id":3293985,"tagging_user_id":33202420,"tagged_user_id":null,"co_author_invite_id":463806,"email":"m***h@ucy.ac.cy","display_order":8323072,"name":"M. Neofytou","title":"A Web services-based exergaming platform for senior citizens: The long lasting memories project approach to e-health care"}],"downloadable_attachments":[{"id":50360228,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/50360228/thumbnails/1.jpg","file_name":"2011_a_web_services-based_exergaming_platform_for_senior_citizens_the_llm_project_approach_to_e-health_care.pdf","download_url":"https://www.academia.edu/attachments/50360228/download_file?st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MDMzNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Web_services_based_exergaming_platform.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/50360228/2011_a_web_services-based_exergaming_platform_for_senior_citizens_the_llm_project_approach_to_e-health_care-libre.pdf?1479337756=\u0026response-content-disposition=attachment%3B+filename%3DA_Web_services_based_exergaming_platform.pdf\u0026Expires=1732453936\u0026Signature=Di8aJ8MLX~W-7lCcZvHWomcff62Eykox8naTDpVlam-7TKX0AsqIzRFAkosBgbBSl7o~Wv0UU0M6AY7adFMjVDHJEbjuRrAC9ntBs87C41R7hOOSxXDS78kxvzwZ8by0PXCZn1EHzPhBnHRKFN5CUZEhZiLG~7DFMAwoJgYv88xnSpye~HfN6w7p9dLstnuTh9SNIMF~XedmzkPRnl83Yjxp-D6yNRcS4KS~jQKYdk~ulNnPB6FjGj4QRapPIE969I4oGKbhmVE1~sky~SKdr1CS69uTB2O7TCUhE0WRlYSzda-BbK2V5H9rgZ0OW6cLEHF-wx2sKYGy~C7KFeys8g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_Web_services_based_exergaming_platform_for_senior_citizens_The_long_lasting_memories_project_approach_to_e_health_care","translated_slug":"","page_count":5,"language":"en","content_type":"Work","owner":{"id":3806260,"first_name":"Antonis","middle_initials":null,"last_name":"Billis","page_name":"AntonisBillis","domain_name":"auth","created_at":"2013-04-15T08:24:11.104-07:00","display_name":"Antonis Billis","url":"https://auth.academia.edu/AntonisBillis"},"attachments":[{"id":50360228,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/50360228/thumbnails/1.jpg","file_name":"2011_a_web_services-based_exergaming_platform_for_senior_citizens_the_llm_project_approach_to_e-health_care.pdf","download_url":"https://www.academia.edu/attachments/50360228/download_file?st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MDMzNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Web_services_based_exergaming_platform.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/50360228/2011_a_web_services-based_exergaming_platform_for_senior_citizens_the_llm_project_approach_to_e-health_care-libre.pdf?1479337756=\u0026response-content-disposition=attachment%3B+filename%3DA_Web_services_based_exergaming_platform.pdf\u0026Expires=1732453936\u0026Signature=Di8aJ8MLX~W-7lCcZvHWomcff62Eykox8naTDpVlam-7TKX0AsqIzRFAkosBgbBSl7o~Wv0UU0M6AY7adFMjVDHJEbjuRrAC9ntBs87C41R7hOOSxXDS78kxvzwZ8by0PXCZn1EHzPhBnHRKFN5CUZEhZiLG~7DFMAwoJgYv88xnSpye~HfN6w7p9dLstnuTh9SNIMF~XedmzkPRnl83Yjxp-D6yNRcS4KS~jQKYdk~ulNnPB6FjGj4QRapPIE969I4oGKbhmVE1~sky~SKdr1CS69uTB2O7TCUhE0WRlYSzda-BbK2V5H9rgZ0OW6cLEHF-wx2sKYGy~C7KFeys8g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":4212,"name":"Cognition","url":"https://www.academia.edu/Documents/in/Cognition"},{"id":4441,"name":"Health Care","url":"https://www.academia.edu/Documents/in/Health_Care"},{"id":9545,"name":"Web Services","url":"https://www.academia.edu/Documents/in/Web_Services"},{"id":11119,"name":"User Interface","url":"https://www.academia.edu/Documents/in/User_Interface"},{"id":23324,"name":"Telemedicine","url":"https://www.academia.edu/Documents/in/Telemedicine"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":46858,"name":"Memory","url":"https://www.academia.edu/Documents/in/Memory"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans"},{"id":83471,"name":"Health Services","url":"https://www.academia.edu/Documents/in/Health_Services"},{"id":289271,"name":"Aged","url":"https://www.academia.edu/Documents/in/Aged"},{"id":317992,"name":"Web Service","url":"https://www.academia.edu/Documents/in/Web_Service"},{"id":1014845,"name":"Physical Training","url":"https://www.academia.edu/Documents/in/Physical_Training"},{"id":1191356,"name":"Internet","url":"https://www.academia.edu/Documents/in/Internet"},{"id":1549959,"name":"SENIOR CITIZEN","url":"https://www.academia.edu/Documents/in/SENIOR_CITIZEN"}],"urls":[{"id":1015275,"url":"http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6090694"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5578062"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5578062/A_proposed_framework_of_an_interactive_semi_virtual_environment_for_enhanced_education_of_children_with_autism_spectrum_disorders"><img alt="Research paper thumbnail of A proposed framework of an interactive semi-virtual environment for enhanced education of children with autism spectrum disorders" class="work-thumbnail" src="https://attachments.academia-assets.com/49232478/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5578062/A_proposed_framework_of_an_interactive_semi_virtual_environment_for_enhanced_education_of_children_with_autism_spectrum_disorders">A proposed framework of an interactive semi-virtual environment for enhanced education of children with autism spectrum disorders</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/ChristosFrantzidis">Christos Frantzidis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Education of people with special needs has recently been considered as a key element in the field...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Education of people with special needs has recently been considered as a key element in the field of medical education. Recent development in the area of information and communication technologies may enable development of collaborative interactive environments which facilitate early stage education and provide specialists with robust tools indicating the person's autism spectrum disorder level. Towards the goal of establishing an enhanced learning environment for children with autism this paper attempts to provide a framework of a semi-controlled real-world environment used for the daily education of an autistic person according to the scenarios selected by the specialists. The proposed framework employs both real-world objects and virtual environments equipped with humanoids able to provide emotional feedback and to demonstrate empathy. Potential examples and usage scenarios for such environments are also described.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6b4116ec27ddf862610d84c21b772299" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":49232478,"asset_id":5578062,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/49232478/download_file?st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MDMzNiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5578062"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5578062"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5578062; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5578062]").text(description); $(".js-view-count[data-work-id=5578062]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5578062; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='5578062']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 5578062, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "6b4116ec27ddf862610d84c21b772299" } } $('.js-work-strip[data-work-id=5578062]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":5578062,"title":"A proposed framework of an interactive semi-virtual environment for enhanced education of children with autism spectrum disorders","translated_title":"","metadata":{"abstract":"Education of people with special needs has recently been considered as a key element in the field of medical education. Recent development in the area of information and communication technologies may enable development of collaborative interactive environments which facilitate early stage education and provide specialists with robust tools indicating the person's autism spectrum disorder level. Towards the goal of establishing an enhanced learning environment for children with autism this paper attempts to provide a framework of a semi-controlled real-world environment used for the daily education of an autistic person according to the scenarios selected by the specialists. The proposed framework employs both real-world objects and virtual environments equipped with humanoids able to provide emotional feedback and to demonstrate empathy. Potential examples and usage scenarios for such environments are also described.","publication_date":{"day":null,"month":null,"year":2009,"errors":{}}},"translated_abstract":"Education of people with special needs has recently been considered as a key element in the field of medical education. Recent development in the area of information and communication technologies may enable development of collaborative interactive environments which facilitate early stage education and provide specialists with robust tools indicating the person's autism spectrum disorder level. Towards the goal of establishing an enhanced learning environment for children with autism this paper attempts to provide a framework of a semi-controlled real-world environment used for the daily education of an autistic person according to the scenarios selected by the specialists. The proposed framework employs both real-world objects and virtual environments equipped with humanoids able to provide emotional feedback and to demonstrate empathy. Potential examples and usage scenarios for such environments are also described.","internal_url":"https://www.academia.edu/5578062/A_proposed_framework_of_an_interactive_semi_virtual_environment_for_enhanced_education_of_children_with_autism_spectrum_disorders","translated_internal_url":"","created_at":"2014-01-01T21:04:59.874-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":147862,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":13787802,"work_id":5578062,"tagging_user_id":147862,"tagged_user_id":202120,"co_author_invite_id":null,"email":"a***i@gmail.com","affiliation":"South East European Research Centre (SEERC)","display_order":0,"name":"Andrej Luneski","title":"A proposed framework of an interactive semi-virtual environment for enhanced education of children with autism spectrum disorders"},{"id":19391791,"work_id":5578062,"tagging_user_id":147862,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":4194304,"name":"Evdokimos Konstantinidis","title":"A proposed framework of an interactive semi-virtual environment for enhanced education of children with autism spectrum disorders"},{"id":19391818,"work_id":5578062,"tagging_user_id":147862,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":6291456,"name":"Panagiotis Bamidis","title":"A proposed framework of an interactive semi-virtual environment for enhanced education of children with autism spectrum disorders"}],"downloadable_attachments":[{"id":49232478,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/49232478/thumbnails/1.jpg","file_name":"A_proposed_framework_of_an_interactive_s20160930-22295-6u2o0w.pdf","download_url":"https://www.academia.edu/attachments/49232478/download_file?st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MDMzNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_proposed_framework_of_an_interactive_s.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/49232478/A_proposed_framework_of_an_interactive_s20160930-22295-6u2o0w-libre.pdf?1475223746=\u0026response-content-disposition=attachment%3B+filename%3DA_proposed_framework_of_an_interactive_s.pdf\u0026Expires=1732453936\u0026Signature=KLksIJTDbdnbAR7AbqR0Wbrhu7E22cHxIKndQbPKOz1QqOn68QH0uRL2Qoacp9yofbUcvJpnljdbO8vnZUy5M-MaOEzW7yprVvAx5duuE4UXvzgOm0RVc1MN8m6wnwA3hDDBKlKxFWdkuMPFlullc7TdkML73~n00qZRPokMttkxoXp0tokOYfzq9ube~6xiILQRvQBNR8ql04iXkoSw2Ld12X7KYRs85JOA9~MUg75Ia-zZd4AzTkd~NX~mFL5KH2Wk3uDXMAtMw7Y1PWp76BpsB4tat2bN~v5H7S5vqszSXuVjTEjXpYsYzwf94vKB4a0LPOfk5MDUeOu~5pwMqg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_proposed_framework_of_an_interactive_semi_virtual_environment_for_enhanced_education_of_children_with_autism_spectrum_disorders","translated_slug":"","page_count":7,"language":"en","content_type":"Work","owner":{"id":147862,"first_name":"Christos","middle_initials":null,"last_name":"Frantzidis","page_name":"ChristosFrantzidis","domain_name":"auth","created_at":"2010-03-20T11:24:43.263-07:00","display_name":"Christos Frantzidis","url":"https://auth.academia.edu/ChristosFrantzidis"},"attachments":[{"id":49232478,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/49232478/thumbnails/1.jpg","file_name":"A_proposed_framework_of_an_interactive_s20160930-22295-6u2o0w.pdf","download_url":"https://www.academia.edu/attachments/49232478/download_file?st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MDMzNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_proposed_framework_of_an_interactive_s.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/49232478/A_proposed_framework_of_an_interactive_s20160930-22295-6u2o0w-libre.pdf?1475223746=\u0026response-content-disposition=attachment%3B+filename%3DA_proposed_framework_of_an_interactive_s.pdf\u0026Expires=1732453936\u0026Signature=KLksIJTDbdnbAR7AbqR0Wbrhu7E22cHxIKndQbPKOz1QqOn68QH0uRL2Qoacp9yofbUcvJpnljdbO8vnZUy5M-MaOEzW7yprVvAx5duuE4UXvzgOm0RVc1MN8m6wnwA3hDDBKlKxFWdkuMPFlullc7TdkML73~n00qZRPokMttkxoXp0tokOYfzq9ube~6xiILQRvQBNR8ql04iXkoSw2Ld12X7KYRs85JOA9~MUg75Ia-zZd4AzTkd~NX~mFL5KH2Wk3uDXMAtMw7Y1PWp76BpsB4tat2bN~v5H7S5vqszSXuVjTEjXpYsYzwf94vKB4a0LPOfk5MDUeOu~5pwMqg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":4455,"name":"Medical Education","url":"https://www.academia.edu/Documents/in/Medical_Education"},{"id":18814,"name":"Information and Communication technology","url":"https://www.academia.edu/Documents/in/Information_and_Communication_technology-1"},{"id":46131,"name":"Paediatrics","url":"https://www.academia.edu/Documents/in/Paediatrics"},{"id":50642,"name":"Virtual Reality","url":"https://www.academia.edu/Documents/in/Virtual_Reality"},{"id":65647,"name":"Learning Environment","url":"https://www.academia.edu/Documents/in/Learning_Environment"},{"id":68786,"name":"Virtual Environment","url":"https://www.academia.edu/Documents/in/Virtual_Environment"},{"id":89159,"name":"Humanoid robots","url":"https://www.academia.edu/Documents/in/Humanoid_robots"},{"id":234882,"name":"Autism Spectrum Disorder","url":"https://www.academia.edu/Documents/in/Autism_Spectrum_Disorder"},{"id":277912,"name":"Special Needs","url":"https://www.academia.edu/Documents/in/Special_Needs"},{"id":296635,"name":"Interactive Learning Environment","url":"https://www.academia.edu/Documents/in/Interactive_Learning_Environment"},{"id":426198,"name":"Cbms","url":"https://www.academia.edu/Documents/in/Cbms"}],"urls":[{"id":2170247,"url":"http://dx.doi.org/10.1109/CBMS.2009.5255414"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="244635"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/244635/On_the_Classification_of_Emotional_Biosignals_Evoked_While_Viewing_Affective_Pictures_An_Integrated_Data_Mining_Based_Approach_for_Healthcare_Applications"><img alt="Research paper thumbnail of On the Classiﬁcation of Emotional Biosignals Evoked While Viewing Affective Pictures: An Integrated Data-Mining-Based Approach for Healthcare Applications" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/244635/On_the_Classification_of_Emotional_Biosignals_Evoked_While_Viewing_Affective_Pictures_An_Integrated_Data_Mining_Based_Approach_for_Healthcare_Applications">On the Classiﬁcation of Emotional Biosignals Evoked While Viewing Affective Pictures: An Integrated Data-Mining-Based Approach for Healthcare Applications</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/ChristosFrantzidis">Christos Frantzidis</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/CharalamposBratsas">Charalampos Bratsas</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Recent neuroscience ﬁndings demonstrate the funda- mental role of emotion in the maintenance of p...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Recent neuroscience ﬁndings demonstrate the funda-<br />mental role of emotion in the maintenance of physical and mental health. In the present study, a novel architecture is proposed for the robust discrimination of emotional physiological signals evoked upon viewing pictures selected fromthe InternationalAffective Picture System (IAPS). Biosignals are multichannel recordings from both the central and the autonomic nervous systems. Following the bidirectional emotion theory model, IAPS pictures are rated along two dimensions, namely, their valence and arousal. Following this model, biosignals in this paper are initially differentiated according to their valence dimension by means of a data mining approach, which is the C4.5 decision tree algorithm. Then, the valence and the gender information serve as an input to aMahalanobis distance classiﬁer, which dissects the data into high and low arousing. Results are described in ExtensibleMarkup Language (XML) format, thereby accounting for platform independency, easy interconnectivity, and information exchange. The average recognition (success)<br />rate was 77.68% for the discrimination of four emotional states, differing both in their arousal and valence dimension. It is, therefore, envisaged that the proposed approach holds promise for the efﬁcient discrimination of negative and positive emotions, and it is hereby discussed how future developments may be steered to serve for affective healthcare applications, such as the monitoring of the elderly or chronically ill people.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7bad475a70a624dbd774f87ebd46bfa8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":986924,"asset_id":244635,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/986924/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="244635"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="244635"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 244635; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=244635]").text(description); $(".js-view-count[data-work-id=244635]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 244635; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='244635']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 244635, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7bad475a70a624dbd774f87ebd46bfa8" } } $('.js-work-strip[data-work-id=244635]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":244635,"title":"On the Classiﬁcation of Emotional Biosignals Evoked While Viewing Affective Pictures: An Integrated Data-Mining-Based Approach for Healthcare Applications","translated_title":"","metadata":{"abstract":"Recent neuroscience ﬁndings demonstrate the funda-\nmental role of emotion in the maintenance of physical and mental health. In the present study, a novel architecture is proposed for the robust discrimination of emotional physiological signals evoked upon viewing pictures selected fromthe InternationalAffective Picture System (IAPS). Biosignals are multichannel recordings from both the central and the autonomic nervous systems. Following the bidirectional emotion theory model, IAPS pictures are rated along two dimensions, namely, their valence and arousal. Following this model, biosignals in this paper are initially differentiated according to their valence dimension by means of a data mining approach, which is the C4.5 decision tree algorithm. Then, the valence and the gender information serve as an input to aMahalanobis distance classiﬁer, which dissects the data into high and low arousing. Results are described in ExtensibleMarkup Language (XML) format, thereby accounting for platform independency, easy interconnectivity, and information exchange. The average recognition (success)\nrate was 77.68% for the discrimination of four emotional states, differing both in their arousal and valence dimension. It is, therefore, envisaged that the proposed approach holds promise for the efﬁcient discrimination of negative and positive emotions, and it is hereby discussed how future developments may be steered to serve for affective healthcare applications, such as the monitoring of the elderly or chronically ill people.","more_info":"This paper appears in: Information Technology in Biomedicine, IEEE Transactions on Issue Date: March 2010 Volume: 14 Issue: 2 On page(s): 309 - 318 "},"translated_abstract":"Recent neuroscience ﬁndings demonstrate the funda-\nmental role of emotion in the maintenance of physical and mental health. In the present study, a novel architecture is proposed for the robust discrimination of emotional physiological signals evoked upon viewing pictures selected fromthe InternationalAffective Picture System (IAPS). Biosignals are multichannel recordings from both the central and the autonomic nervous systems. Following the bidirectional emotion theory model, IAPS pictures are rated along two dimensions, namely, their valence and arousal. Following this model, biosignals in this paper are initially differentiated according to their valence dimension by means of a data mining approach, which is the C4.5 decision tree algorithm. Then, the valence and the gender information serve as an input to aMahalanobis distance classiﬁer, which dissects the data into high and low arousing. Results are described in ExtensibleMarkup Language (XML) format, thereby accounting for platform independency, easy interconnectivity, and information exchange. The average recognition (success)\nrate was 77.68% for the discrimination of four emotional states, differing both in their arousal and valence dimension. It is, therefore, envisaged that the proposed approach holds promise for the efﬁcient discrimination of negative and positive emotions, and it is hereby discussed how future developments may be steered to serve for affective healthcare applications, such as the monitoring of the elderly or chronically ill people.","internal_url":"https://www.academia.edu/244635/On_the_Classification_of_Emotional_Biosignals_Evoked_While_Viewing_Affective_Pictures_An_Integrated_Data_Mining_Based_Approach_for_Healthcare_Applications","translated_internal_url":"","created_at":"2010-06-13T23:59:29.384-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":147862,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":13787822,"work_id":244635,"tagging_user_id":147862,"tagged_user_id":34898140,"co_author_invite_id":null,"email":"k***i@med.duth.gr","affiliation":"Democritus University of Thrace","display_order":0,"name":"Eleni Kaldoudi","title":"On the Classiﬁcation of Emotional Biosignals Evoked While Viewing Affective Pictures: An Integrated Data-Mining-Based Approach for Healthcare Applications"},{"id":13787823,"work_id":244635,"tagging_user_id":147862,"tagged_user_id":34968593,"co_author_invite_id":null,"email":"c***s@math.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":4194304,"name":"Charalampos Bratsas","title":"On the Classiﬁcation of Emotional Biosignals Evoked While Viewing Affective Pictures: An Integrated Data-Mining-Based Approach for Healthcare Applications"},{"id":19391790,"work_id":244635,"tagging_user_id":147862,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":6291456,"name":"Evdokimos Konstantinidis","title":"On the Classiﬁcation of Emotional Biosignals Evoked While Viewing Affective Pictures: An Integrated Data-Mining-Based Approach for Healthcare Applications"},{"id":19391795,"work_id":244635,"tagging_user_id":147862,"tagged_user_id":null,"co_author_invite_id":1306671,"email":"c***z@pe.uth.gr","display_order":7340032,"name":"Chrysa Lithari","title":"On the Classiﬁcation of Emotional Biosignals Evoked While Viewing Affective Pictures: An Integrated Data-Mining-Based Approach for Healthcare Applications"},{"id":19391808,"work_id":244635,"tagging_user_id":147862,"tagged_user_id":27485044,"co_author_invite_id":null,"email":"v***s@city.academic.gr","display_order":7864320,"name":"Ana Vivas","title":"On the Classiﬁcation of Emotional Biosignals Evoked While Viewing Affective Pictures: An Integrated Data-Mining-Based Approach for Healthcare Applications"},{"id":19391816,"work_id":244635,"tagging_user_id":147862,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":8126464,"name":"Panagiotis Bamidis","title":"On the Classiﬁcation of Emotional Biosignals Evoked While Viewing Affective Pictures: An Integrated Data-Mining-Based Approach for Healthcare Applications"}],"downloadable_attachments":[],"slug":"On_the_Classification_of_Emotional_Biosignals_Evoked_While_Viewing_Affective_Pictures_An_Integrated_Data_Mining_Based_Approach_for_Healthcare_Applications","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":147862,"first_name":"Christos","middle_initials":null,"last_name":"Frantzidis","page_name":"ChristosFrantzidis","domain_name":"auth","created_at":"2010-03-20T11:24:43.263-07:00","display_name":"Christos Frantzidis","url":"https://auth.academia.edu/ChristosFrantzidis"},"attachments":[{"id":986924,"title":"On the Classiﬁcation of Emotional Biosignals Evoked While Viewing Affective Pictures: An Integrated Data-Mining-Based Approach for Healthcare Applications","file_type":"","scribd_thumbnail_url":"https://a.academia-assets.com/images/blank-paper.jpg","file_name":"","download_url":"https://www.academia.edu/attachments/986924/download_file","bulk_download_file_name":"On_the_Classification_of_Emotional_Biosi","bulk_download_url":"academia.edu"}],"research_interests":[],"urls":[{"id":4473266,"url":"http://ieeexplore.ieee.org/Xplore/defdeny.jsp?url=http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5373931\u0026userType=inst"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="15777486"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/15777486/Supporting_tele_health_and_AI_based_clinical_decision_making_with_sensor_data_fusion_and_semantic_interpretation_The_USEFIL_case_study"><img alt="Research paper thumbnail of Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study" class="work-thumbnail" src="https://attachments.academia-assets.com/42895486/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/15777486/Supporting_tele_health_and_AI_based_clinical_decision_making_with_sensor_data_fusion_and_semantic_interpretation_The_USEFIL_case_study">Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/CharalamposBratsas">Charalampos Bratsas</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/AntonisBillis">Antonis Billis</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/ChristosFrantzidis">Christos Frantzidis</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/Spyropoulos">C. Spyropoulos</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://piraeus.academia.edu/AlexanderArtikis">Alexander Artikis</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AArtikis">A. Artikis</a></span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="04e15f2f0275c167be2add74a5b31714" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42895486,"asset_id":15777486,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42895486/download_file?st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MDMzNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="15777486"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="15777486"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 15777486; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=15777486]").text(description); $(".js-view-count[data-work-id=15777486]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 15777486; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='15777486']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 15777486, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "04e15f2f0275c167be2add74a5b31714" } } $('.js-work-strip[data-work-id=15777486]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":15777486,"title":"Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":2012,"errors":{}}},"translated_abstract":null,"internal_url":"https://www.academia.edu/15777486/Supporting_tele_health_and_AI_based_clinical_decision_making_with_sensor_data_fusion_and_semantic_interpretation_The_USEFIL_case_study","translated_internal_url":"","created_at":"2015-09-16T14:18:43.196-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34968593,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":5919936,"work_id":15777486,"tagging_user_id":34968593,"tagged_user_id":25148612,"co_author_invite_id":null,"email":"p***s@gmail.com","display_order":0,"name":"Panagiotis Bamidis","title":"Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study"},{"id":5919961,"work_id":15777486,"tagging_user_id":34968593,"tagged_user_id":3806260,"co_author_invite_id":null,"email":"a***s@gmail.com","affiliation":"Aristotle University of Thessaloniki","display_order":4194304,"name":"Antonis Billis","title":"Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study"},{"id":5919976,"work_id":15777486,"tagging_user_id":34968593,"tagged_user_id":147862,"co_author_invite_id":null,"email":"c***s@gmail.com","affiliation":"Aristotle University of Thessaloniki","display_order":6291456,"name":"Christos Frantzidis","title":"Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study"},{"id":18150412,"work_id":15777486,"tagging_user_id":34968593,"tagged_user_id":33409838,"co_author_invite_id":null,"email":"c***s@iit.demokritos.gr","display_order":7340032,"name":"C. Spyropoulos","title":"Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study"},{"id":18150413,"work_id":15777486,"tagging_user_id":34968593,"tagged_user_id":12571190,"co_author_invite_id":null,"email":"s***k@gmail.com","affiliation":"National Centre of Scientific Research \"DEMOKRITOS\"","display_order":7864320,"name":"Stasinos Konstantopoulos","title":"Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study"},{"id":18150414,"work_id":15777486,"tagging_user_id":34968593,"tagged_user_id":32473776,"co_author_invite_id":null,"email":"a***s@gmail.com","affiliation":"University of Piraeus","display_order":8126464,"name":"Alexander Artikis","title":"Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study"},{"id":18150415,"work_id":15777486,"tagging_user_id":34968593,"tagged_user_id":34710736,"co_author_invite_id":null,"email":"v***s@iit.demokritos.gr","display_order":8257536,"name":"Vangelis Karkaletsis","title":"Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study"},{"id":18150416,"work_id":15777486,"tagging_user_id":34968593,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":8323072,"name":"Evdokimos Konstantinidis","title":"Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study"},{"id":20247288,"work_id":15777486,"tagging_user_id":3806260,"tagged_user_id":333541,"co_author_invite_id":null,"email":"c***t@gmail.com","affiliation":"Aristotle University of Thessaloniki","display_order":8355840,"name":"Bratsas Charalampos","title":"Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study"},{"id":22782324,"work_id":15777486,"tagging_user_id":34968593,"tagged_user_id":null,"co_author_invite_id":3024060,"email":"a***s@acm.org","display_order":8372224,"name":"Alexander Artikis","title":"Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study"},{"id":22782325,"work_id":15777486,"tagging_user_id":34968593,"tagged_user_id":51448532,"co_author_invite_id":1263319,"email":"a***s@iit.demokritos.gr","display_order":8380416,"name":"A. Artikis","title":"Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study"},{"id":22782326,"work_id":15777486,"tagging_user_id":34968593,"tagged_user_id":null,"co_author_invite_id":3679828,"email":"a***s@ic.ac.uk","display_order":8384512,"name":"Alexander Artikis","title":"Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study"}],"downloadable_attachments":[{"id":42895486,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/42895486/thumbnails/1.jpg","file_name":"Supporting_Tele-Health_and_AI-based_Clin20160221-15392-1x84kws.pdf","download_url":"https://www.academia.edu/attachments/42895486/download_file?st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MDMzNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Supporting_tele_health_and_AI_based_clin.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/42895486/Supporting_Tele-Health_and_AI-based_Clin20160221-15392-1x84kws-libre.pdf?1456051874=\u0026response-content-disposition=attachment%3B+filename%3DSupporting_tele_health_and_AI_based_clin.pdf\u0026Expires=1732453937\u0026Signature=FDLaqSU0aeb~Akb7McIRbDnVll2hULOPJ4tbMqIrvwPEo6Z78tzLRwGb-bqclQYvRqXn9Dxrit5uwCZVd4esU908XOgzHeaN0rEQHBd3SBMipcFvnZOEA~4KKLYvZhSkaGO9lktiOMfgFw11pmvsomZ3LJluq6SXHxFtdEhhrfZ5SClRgacm1ggDYzHrhJ6CUqjTFTYRX6lGu4cUNaqJH21U71crGlHZPCvFhB~MWwcIh3--fv1lMPOEZ3mxD7YTfAcgKYgx2QPLjOFRrOqV1u4vQe6YxOSoHrnX2DJo2yOuMPNFpCh1Sxgwv0vlj8k3yjHCyQ5NwptjKLIs5SMuCw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Supporting_tele_health_and_AI_based_clinical_decision_making_with_sensor_data_fusion_and_semantic_interpretation_The_USEFIL_case_study","translated_slug":"","page_count":68,"language":"en","content_type":"Work","owner":{"id":34968593,"first_name":"Charalampos","middle_initials":null,"last_name":"Bratsas","page_name":"CharalamposBratsas","domain_name":"auth","created_at":"2015-09-16T14:17:38.909-07:00","display_name":"Charalampos Bratsas","url":"https://auth.academia.edu/CharalamposBratsas"},"attachments":[{"id":42895486,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/42895486/thumbnails/1.jpg","file_name":"Supporting_Tele-Health_and_AI-based_Clin20160221-15392-1x84kws.pdf","download_url":"https://www.academia.edu/attachments/42895486/download_file?st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MDMzNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Supporting_tele_health_and_AI_based_clin.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/42895486/Supporting_Tele-Health_and_AI-based_Clin20160221-15392-1x84kws-libre.pdf?1456051874=\u0026response-content-disposition=attachment%3B+filename%3DSupporting_tele_health_and_AI_based_clin.pdf\u0026Expires=1732453937\u0026Signature=FDLaqSU0aeb~Akb7McIRbDnVll2hULOPJ4tbMqIrvwPEo6Z78tzLRwGb-bqclQYvRqXn9Dxrit5uwCZVd4esU908XOgzHeaN0rEQHBd3SBMipcFvnZOEA~4KKLYvZhSkaGO9lktiOMfgFw11pmvsomZ3LJluq6SXHxFtdEhhrfZ5SClRgacm1ggDYzHrhJ6CUqjTFTYRX6lGu4cUNaqJH21U71crGlHZPCvFhB~MWwcIh3--fv1lMPOEZ3mxD7YTfAcgKYgx2QPLjOFRrOqV1u4vQe6YxOSoHrnX2DJo2yOuMPNFpCh1Sxgwv0vlj8k3yjHCyQ5NwptjKLIs5SMuCw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":3521,"name":"Computational Intelligence","url":"https://www.academia.edu/Documents/in/Computational_Intelligence"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="239100"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/239100/On_the_classification_of_emotional_biosignals_evoked_while_viewing_affective_pictures_an_integrated_data_mining_based_approach_for_healthcare_applications"><img alt="Research paper thumbnail of On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data mining based approach for healthcare applications." class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/239100/On_the_classification_of_emotional_biosignals_evoked_while_viewing_affective_pictures_an_integrated_data_mining_based_approach_for_healthcare_applications">On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data mining based approach for healthcare applications.</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://cbs-mpg.academia.edu/mklados">Manousos A Klados</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://hms-harvard.academia.edu/ChristosPapadelis">Christos Papadelis</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Recent neuroscience findings demonstrate the fundamental role of emotion in the maintenance of ph...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Recent neuroscience findings demonstrate the fundamental role of emotion in the maintenance of physical and mental health. In the present study, a novel architecture is proposed for the robust discrimination of emotional physiological signals evoked upon viewing pictures selected from the International Affective Picture System (IAPS). Biosignals are multi-channel recordings from both the central and the autonomic nervous systems. Following the bi-directional emotion theory model, IAPS pictures are rated along two dimensions, namely, their valence and arousal. Following this model, biosignals in this paper are initially differentiated according to their valence dimension by means of a data mining approach, that is the C4.5 decision tree algorithm. Then, the valence and the gender information serve as an input to a Mahalanobis distance classifier, which dissects the data into high and low arousing. Results are described in XML format, thereby accounting for platform independency, easy inter-connectivity and information exchange. The average recognition (success) rate was 77.68% for the discrimination of four emotional states differing both in theirarousal and valence dimension. It is therefore, envisaged that the proposed approach holds promise for the efficient discrimination of negative and positive emotions and it is hereby discussed how future developments may be steered to serve for affective healthcare applications such as the monitoring of the elderly or chronically ill people.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1fa144c1307abbbd873bd8bd60975f1d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":958008,"asset_id":239100,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/958008/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="239100"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="239100"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 239100; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=239100]").text(description); $(".js-view-count[data-work-id=239100]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 239100; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='239100']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 239100, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "1fa144c1307abbbd873bd8bd60975f1d" } } $('.js-work-strip[data-work-id=239100]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":239100,"title":"On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data mining based approach for healthcare applications.","translated_title":"","metadata":{"abstract":"Recent neuroscience findings demonstrate the fundamental role of emotion in the maintenance of physical and mental health. In the present study, a novel architecture is proposed for the robust discrimination of emotional physiological signals evoked upon viewing pictures selected from the International Affective Picture System (IAPS). Biosignals are multi-channel recordings from both the central and the autonomic nervous systems. Following the bi-directional emotion theory model, IAPS pictures are rated along two dimensions, namely, their valence and arousal. Following this model, biosignals in this paper are initially differentiated according to their valence dimension by means of a data mining approach, that is the C4.5 decision tree algorithm. Then, the valence and the gender information serve as an input to a Mahalanobis distance classifier, which dissects the data into high and low arousing. Results are described in XML format, thereby accounting for platform independency, easy inter-connectivity and information exchange. The average recognition (success) rate was 77.68% for the discrimination of four emotional states differing both in theirarousal and valence dimension. It is therefore, envisaged that the proposed approach holds promise for the efficient discrimination of negative and positive emotions and it is hereby discussed how future developments may be steered to serve for affective healthcare applications such as the monitoring of the elderly or chronically ill people."},"translated_abstract":"Recent neuroscience findings demonstrate the fundamental role of emotion in the maintenance of physical and mental health. In the present study, a novel architecture is proposed for the robust discrimination of emotional physiological signals evoked upon viewing pictures selected from the International Affective Picture System (IAPS). Biosignals are multi-channel recordings from both the central and the autonomic nervous systems. Following the bi-directional emotion theory model, IAPS pictures are rated along two dimensions, namely, their valence and arousal. Following this model, biosignals in this paper are initially differentiated according to their valence dimension by means of a data mining approach, that is the C4.5 decision tree algorithm. Then, the valence and the gender information serve as an input to a Mahalanobis distance classifier, which dissects the data into high and low arousing. Results are described in XML format, thereby accounting for platform independency, easy inter-connectivity and information exchange. The average recognition (success) rate was 77.68% for the discrimination of four emotional states differing both in theirarousal and valence dimension. It is therefore, envisaged that the proposed approach holds promise for the efficient discrimination of negative and positive emotions and it is hereby discussed how future developments may be steered to serve for affective healthcare applications such as the monitoring of the elderly or chronically ill people.","internal_url":"https://www.academia.edu/239100/On_the_classification_of_emotional_biosignals_evoked_while_viewing_affective_pictures_an_integrated_data_mining_based_approach_for_healthcare_applications","translated_internal_url":"","created_at":"2010-05-24T17:10:38.418-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":190567,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":8191753,"work_id":239100,"tagging_user_id":190567,"tagged_user_id":34968593,"co_author_invite_id":null,"email":"c***s@math.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":0,"name":"Charalampos Bratsas","title":"On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data mining based approach for healthcare applications."},{"id":8191754,"work_id":239100,"tagging_user_id":190567,"tagged_user_id":34898140,"co_author_invite_id":null,"email":"k***i@med.duth.gr","affiliation":"Democritus University of Thrace","display_order":4194304,"name":"Eleni Kaldoudi","title":"On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data mining based approach for healthcare applications."},{"id":8191755,"work_id":239100,"tagging_user_id":190567,"tagged_user_id":5604114,"co_author_invite_id":null,"email":"c***s@childrens.harvard.edu","affiliation":"Harvard Medical School","display_order":6291456,"name":"Christos Papadelis","title":"On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data mining based approach for healthcare applications."},{"id":8191756,"work_id":239100,"tagging_user_id":190567,"tagged_user_id":333541,"co_author_invite_id":null,"email":"c***t@gmail.com","affiliation":"Aristotle University of Thessaloniki","display_order":7340032,"name":"Bratsas Charalampos","title":"On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data mining based approach for healthcare applications."},{"id":8191757,"work_id":239100,"tagging_user_id":190567,"tagged_user_id":147862,"co_author_invite_id":null,"email":"c***s@gmail.com","affiliation":"Aristotle University of Thessaloniki","display_order":7864320,"name":"Christos Frantzidis","title":"On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data mining based approach for healthcare applications."},{"id":17703988,"work_id":239100,"tagging_user_id":5604114,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":8126464,"name":"Evdokimos Konstantinidis","title":"On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data mining based approach for healthcare applications."},{"id":17704098,"work_id":239100,"tagging_user_id":5604114,"tagged_user_id":27485044,"co_author_invite_id":null,"email":"v***s@city.academic.gr","display_order":8257536,"name":"Ana Vivas","title":"On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data mining based approach for healthcare applications."},{"id":17704129,"work_id":239100,"tagging_user_id":5604114,"tagged_user_id":2054787,"co_author_invite_id":null,"email":"c***s@icps.edu.gr","affiliation":"ICPS - College for Humanistic Sciences","display_order":8323072,"name":"Constantinos Pappas","title":"On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data mining based approach for healthcare applications."},{"id":17704142,"work_id":239100,"tagging_user_id":5604114,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":8355840,"name":"Panagiotis Bamidis","title":"On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data mining based approach for healthcare applications."}],"downloadable_attachments":[],"slug":"On_the_classification_of_emotional_biosignals_evoked_while_viewing_affective_pictures_an_integrated_data_mining_based_approach_for_healthcare_applications","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":190567,"first_name":"Manousos","middle_initials":"A","last_name":"Klados","page_name":"mklados","domain_name":"cbs-mpg","created_at":"2010-05-24T17:01:01.717-07:00","display_name":"Manousos A Klados","url":"https://cbs-mpg.academia.edu/mklados"},"attachments":[{"id":958008,"title":"On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data mining based approach for healthcare applications.","file_type":"","scribd_thumbnail_url":"https://a.academia-assets.com/images/blank-paper.jpg","file_name":"","download_url":"https://www.academia.edu/attachments/958008/download_file","bulk_download_file_name":"On_the_classification_of_emotional_biosi","bulk_download_url":"academia.edu"}],"research_interests":[],"urls":[{"id":4471511,"url":"http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?reload=true\u0026arnumber=5373931"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="22045406"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/22045406/Integration_of_cognitive_and_physical_training_in_a_smart_home_environment_for_the_elderly_people"><img alt="Research paper thumbnail of Integration of cognitive and physical training in a smart home environment for the elderly people" class="work-thumbnail" src="https://attachments.academia-assets.com/42728265/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/22045406/Integration_of_cognitive_and_physical_training_in_a_smart_home_environment_for_the_elderly_people">Integration of cognitive and physical training in a smart home environment for the elderly people</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://tuwien.academia.edu/PaulPanek">Paul Panek</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/WalterHlauschek">Walter Hlauschek</a></span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f21d95ccff7029d24292e3864eb396de" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42728265,"asset_id":22045406,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42728265/download_file?st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MDMzNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="22045406"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="22045406"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 22045406; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=22045406]").text(description); $(".js-view-count[data-work-id=22045406]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 22045406; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='22045406']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 22045406, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "f21d95ccff7029d24292e3864eb396de" } } $('.js-work-strip[data-work-id=22045406]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":22045406,"title":"Integration of cognitive and physical training in a smart home environment for the elderly people","translated_title":"","metadata":{"grobid_abstract":"Our research work is towards a service that can support senior citizens towards their independent living and active ageing. As it is suggested, physical and cognitive exercise training can contribute to a significant prolongation of personal autonomy and participation in society across prevailing agerelated impairments such as cognitive decline. In the current paper, the approach of combination of both physical and cognitive training -adopted by LLM project -is discussed related to other similar projects that have taken place in the area of elderly home care and training. The aim of this work is to describe the technical design details of the integration process of the LLM service, which is based on a Web service architecture and to discuss alternative interface elements to be included in the LLM platform in terms of enabling user accessibility and acceptance.","publication_date":{"day":null,"month":null,"year":2010,"errors":{}},"grobid_abstract_attachment_id":42728265},"translated_abstract":null,"internal_url":"https://www.academia.edu/22045406/Integration_of_cognitive_and_physical_training_in_a_smart_home_environment_for_the_elderly_people","translated_internal_url":"","created_at":"2016-02-16T05:37:07.045-08:00","preview_url":null,"current_user_can_edit":false,"current_user_is_owner":null,"owner_id":10086055,"coauthors_can_edit":false,"document_type":"paper","co_author_tags":[{"id":17164846,"work_id":22045406,"tagging_user_id":10086055,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":0,"name":"Panagiotis Bamidis","title":"Integration of cognitive and physical training in a smart home environment for the elderly people"},{"id":17164847,"work_id":22045406,"tagging_user_id":10086055,"tagged_user_id":3806260,"co_author_invite_id":null,"email":"a***s@gmail.com","affiliation":"Aristotle University of Thessaloniki","display_order":4194304,"name":"Antonis Billis","title":"Integration of cognitive and physical training in a smart home environment for the elderly people"},{"id":17164848,"work_id":22045406,"tagging_user_id":10086055,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":6291456,"name":"Evdokimos Konstantinidis","title":"Integration of cognitive and physical training in a smart home environment for the elderly people"},{"id":17164864,"work_id":22045406,"tagging_user_id":10086055,"tagged_user_id":45014184,"co_author_invite_id":3222868,"email":"w***k@ceit.at","display_order":7340032,"name":"Walter Hlauschek","title":"Integration of cognitive and physical training in a smart home environment for the elderly people"}],"downloadable_attachments":[{"id":42728265,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/42728265/thumbnails/1.jpg","file_name":"Integration_of_cognitive_and_physical_tr20160216-11593-qtru5x.pdf","download_url":"https://www.academia.edu/attachments/42728265/download_file?st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MDMzNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Integration_of_cognitive_and_physical_tr.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/42728265/Integration_of_cognitive_and_physical_tr20160216-11593-qtru5x-libre.pdf?1455638295=\u0026response-content-disposition=attachment%3B+filename%3DIntegration_of_cognitive_and_physical_tr.pdf\u0026Expires=1732453937\u0026Signature=gWU8MgdMTXUHUeGYsOFVyGTeYnD2KlzKb5EH2NzfrIcUPOdCCyNy1YxVNAVE2fjRN1ZyAWuaJjtQYHkK~fkWuSn38rFhwb2xFOWm2fStJwj2P9vkg6HqMtKsg2izzRSjC1dtP7N-Zu00n0iGD3oOU0E92xSHpiH~r14RCPAeeVIj1e2o91UMDvBLGElGB3brDnwtMNmF~CKqEAhFuDJx36Ds6XZLuLG8wAmefOtpxtrqePV2KgxEQsB3H45tFKttiuNaUyxtzcvj4z3FFLxJcJiv~NluZG-l5k8~rS8OHzJJmZ2S8XDkrTMBdn90Urr-OgHWgkyWtE8Jeh7ikd9~Kg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Integration_of_cognitive_and_physical_training_in_a_smart_home_environment_for_the_elderly_people","translated_slug":"","page_count":5,"language":"en","content_type":"Work","owner":{"id":10086055,"first_name":"Paul","middle_initials":null,"last_name":"Panek","page_name":"PaulPanek","domain_name":"tuwien","created_at":"2014-03-14T05:49:23.031-07:00","display_name":"Paul Panek","url":"https://tuwien.academia.edu/PaulPanek"},"attachments":[{"id":42728265,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/42728265/thumbnails/1.jpg","file_name":"Integration_of_cognitive_and_physical_tr20160216-11593-qtru5x.pdf","download_url":"https://www.academia.edu/attachments/42728265/download_file?st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MDMzNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Integration_of_cognitive_and_physical_tr.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/42728265/Integration_of_cognitive_and_physical_tr20160216-11593-qtru5x-libre.pdf?1455638295=\u0026response-content-disposition=attachment%3B+filename%3DIntegration_of_cognitive_and_physical_tr.pdf\u0026Expires=1732453937\u0026Signature=gWU8MgdMTXUHUeGYsOFVyGTeYnD2KlzKb5EH2NzfrIcUPOdCCyNy1YxVNAVE2fjRN1ZyAWuaJjtQYHkK~fkWuSn38rFhwb2xFOWm2fStJwj2P9vkg6HqMtKsg2izzRSjC1dtP7N-Zu00n0iGD3oOU0E92xSHpiH~r14RCPAeeVIj1e2o91UMDvBLGElGB3brDnwtMNmF~CKqEAhFuDJx36Ds6XZLuLG8wAmefOtpxtrqePV2KgxEQsB3H45tFKttiuNaUyxtzcvj4z3FFLxJcJiv~NluZG-l5k8~rS8OHzJJmZ2S8XDkrTMBdn90Urr-OgHWgkyWtE8Jeh7ikd9~Kg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":7428,"name":"Health Education","url":"https://www.academia.edu/Documents/in/Health_Education"},{"id":48044,"name":"Greece","url":"https://www.academia.edu/Documents/in/Greece"},{"id":59587,"name":"Library and Information Studies","url":"https://www.academia.edu/Documents/in/Library_and_Information_Studies"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans"},{"id":101797,"name":"Cognitive Therapy","url":"https://www.academia.edu/Documents/in/Cognitive_Therapy"},{"id":111545,"name":"Male","url":"https://www.academia.edu/Documents/in/Male"},{"id":410370,"name":"Public health systems and services research","url":"https://www.academia.edu/Documents/in/Public_health_systems_and_services_research-1"},{"id":1191356,"name":"Internet","url":"https://www.academia.edu/Documents/in/Internet"},{"id":1524625,"name":"Home Care Services","url":"https://www.academia.edu/Documents/in/Home_Care_Services"},{"id":2060696,"name":"Health services for the aged","url":"https://www.academia.edu/Documents/in/Health_services_for_the_aged"}],"urls":[{"id":6763453,"url":"https://www.researchgate.net/profile/Evdokimos_Konstantinidis/publication/46273384_Integration_of_cognitive_and_physical_training_in_a_smart_home_environment_for_the_elderly_people/links/54d149680cf28959aa7acb76.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="231164"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/231164/An_automated_system_for_processing_electrodermal_activity"><img alt="Research paper thumbnail of An automated system for processing electrodermal activity " class="work-thumbnail" src="https://attachments.academia-assets.com/923776/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/231164/An_automated_system_for_processing_electrodermal_activity">An automated system for processing electrodermal activity </a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://auth.academia.edu/ChristosFrantzidis">Christos Frantzidis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://authfdf.academia.edu/EvdokimosKonstantinidis">Evdokimos Konstantinidis</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A new approach is presented in this paper for the display and processing of the electrodermal ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A new approach is presented in this paper for the display and processing <br />of  the  electrodermal  activity.  It  offers  a  fully  automated  interface  for  the  pre-<br />processing  and  for  scoring  individual  skin  conductance  responses  (SCRs).  The <br />application  supports  parallel  processing  by  means  of  multiple  threads.  Batch <br />processing  is  also  available.  The  XML  format  is  used  to  describe  the  derived <br />features. The system is employed to analyze emotion-related data.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="502fce0602af259e836ad9ebb400ddde" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":923776,"asset_id":231164,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/923776/download_file?st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="231164"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="231164"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 231164; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=231164]").text(description); $(".js-view-count[data-work-id=231164]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 231164; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='231164']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 231164, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "502fce0602af259e836ad9ebb400ddde" } } $('.js-work-strip[data-work-id=231164]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":231164,"title":"An automated system for processing electrodermal activity ","translated_title":"","metadata":{"abstract":"A new approach is presented in this paper for the display and processing \nof the electrodermal activity. It offers a fully automated interface for the pre-\nprocessing and for scoring individual skin conductance responses (SCRs). The \napplication supports parallel processing by means of multiple threads. Batch \nprocessing is also available. The XML format is used to describe the derived \nfeatures. The system is employed to analyze emotion-related data. ","more_info":"Studies in Health Technology and Informatics Volume 150, 2009 Medical Informatics in a United and Healthy Europe - Proceedings of MIE 2009 – The XXIInd International Congress of the European Federation for Medical Informatics Edited by Klaus-Peter Adlassnig, Bernd Blobel, John Mantas, Izet Masic ISBN 978-1-60750-044-5 DOI: 10.3233/978-1-60750-044-5-787"},"translated_abstract":"A new approach is presented in this paper for the display and processing \nof the electrodermal activity. It offers a fully automated interface for the pre-\nprocessing and for scoring individual skin conductance responses (SCRs). The \napplication supports parallel processing by means of multiple threads. Batch \nprocessing is also available. The XML format is used to describe the derived \nfeatures. The system is employed to analyze emotion-related data. ","internal_url":"https://www.academia.edu/231164/An_automated_system_for_processing_electrodermal_activity","translated_internal_url":"","created_at":"2010-04-25T01:06:46.833-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":147862,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":13787825,"work_id":231164,"tagging_user_id":147862,"tagged_user_id":3799322,"co_author_invite_id":null,"email":"e***k@gmail.com","affiliation":"Aristotle University","display_order":0,"name":"Evdokimos Konstantinidis","title":"An automated system for processing electrodermal activity "},{"id":19391814,"work_id":231164,"tagging_user_id":147862,"tagged_user_id":16470510,"co_author_invite_id":null,"email":"b***s@med.auth.gr","affiliation":"Aristotle University of Thessaloniki","display_order":4194304,"name":"Panagiotis Bamidis","title":"An automated system for processing electrodermal activity "}],"downloadable_attachments":[{"id":923776,"title":"An automated system for processing electrodermal activity ","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/923776/thumbnails/1.jpg","file_name":"or_submission-265.pdf","download_url":"https://www.academia.edu/attachments/923776/download_file?st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"An_automated_system_for_processing_elect.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/923776/or_submission-265-libre.pdf?1390587900=\u0026response-content-disposition=attachment%3B+filename%3DAn_automated_system_for_processing_elect.pdf\u0026Expires=1732453937\u0026Signature=Iasc9HlRtQZqx00EuyQr4oC8K-gYPu2r9enxW91T-LbiKgOsPFphPGj30Jrf8qbEQo~8BiGcANIQkpr1zLcyIAtNwcvhmUnjZnnvCWn62UszurFsKdhklo0cWJuM3kn9Se5LURS41AZXzqV0bI~cTNuO8ZistUnY5yzUyLXRhSpGR9gAiGLKR4gVAPfzRNsTDl-5wNBE-fQ0jS2RndcBkStxd1JRuV07Y0LITLGtZusorGb7LHCZDb5MZVQTggQZE~f2PZynkarnhXmRZQEuUJj881mVmb3352nc5ZmF5GlBejZop962-0d8-2ROR4MjkVJgCWmZZOd2S61PjYYk0g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"An_automated_system_for_processing_electrodermal_activity","translated_slug":"","page_count":2,"language":"en","content_type":"Work","owner":{"id":147862,"first_name":"Christos","middle_initials":null,"last_name":"Frantzidis","page_name":"ChristosFrantzidis","domain_name":"auth","created_at":"2010-03-20T11:24:43.263-07:00","display_name":"Christos Frantzidis","url":"https://auth.academia.edu/ChristosFrantzidis"},"attachments":[{"id":923776,"title":"An automated system for processing electrodermal activity ","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/923776/thumbnails/1.jpg","file_name":"or_submission-265.pdf","download_url":"https://www.academia.edu/attachments/923776/download_file?st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&st=MTczMjQ1MDMzOCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"An_automated_system_for_processing_elect.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/923776/or_submission-265-libre.pdf?1390587900=\u0026response-content-disposition=attachment%3B+filename%3DAn_automated_system_for_processing_elect.pdf\u0026Expires=1732453937\u0026Signature=Iasc9HlRtQZqx00EuyQr4oC8K-gYPu2r9enxW91T-LbiKgOsPFphPGj30Jrf8qbEQo~8BiGcANIQkpr1zLcyIAtNwcvhmUnjZnnvCWn62UszurFsKdhklo0cWJuM3kn9Se5LURS41AZXzqV0bI~cTNuO8ZistUnY5yzUyLXRhSpGR9gAiGLKR4gVAPfzRNsTDl-5wNBE-fQ0jS2RndcBkStxd1JRuV07Y0LITLGtZusorGb7LHCZDb5MZVQTggQZE~f2PZynkarnhXmRZQEuUJj881mVmb3352nc5ZmF5GlBejZop962-0d8-2ROR4MjkVJgCWmZZOd2S61PjYYk0g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/google_contacts-0dfb882d836b94dbcb4a2d123d6933fc9533eda5be911641f20b4eb428429600.js"], function() { // from javascript_helper.rb $('.js-google-connect-button').click(function(e) { e.preventDefault(); GoogleContacts.authorize_and_show_contacts(); Aedu.Dismissibles.recordClickthrough("WowProfileImportContactsPrompt"); }); $('.js-update-biography-button').click(function(e) { e.preventDefault(); Aedu.Dismissibles.recordClickthrough("UpdateUserBiographyPrompt"); $.ajax({ url: $r.api_v0_profiles_update_about_path({ subdomain_param: 'api', about: "", }), type: 'PUT', success: function(response) { location.reload(); } }); }); $('.js-work-creator-button').click(function (e) { e.preventDefault(); window.location = $r.upload_funnel_document_path({ source: encodeURIComponent(""), }); }); $('.js-video-upload-button').click(function (e) { e.preventDefault(); window.location = $r.upload_funnel_video_path({ source: encodeURIComponent(""), }); }); $('.js-do-this-later-button').click(function() { $(this).closest('.js-profile-nag-panel').remove(); Aedu.Dismissibles.recordDismissal("WowProfileImportContactsPrompt"); }); $('.js-update-biography-do-this-later-button').click(function(){ $(this).closest('.js-profile-nag-panel').remove(); Aedu.Dismissibles.recordDismissal("UpdateUserBiographyPrompt"); }); $('.wow-profile-mentions-upsell--close').click(function(){ $('.wow-profile-mentions-upsell--panel').hide(); Aedu.Dismissibles.recordDismissal("WowProfileMentionsUpsell"); }); $('.wow-profile-mentions-upsell--button').click(function(){ Aedu.Dismissibles.recordClickthrough("WowProfileMentionsUpsell"); }); new WowProfile.SocialRedesignUserWorks({ initialWorksOffset: 20, allWorksOffset: 20, maxSections: 1 }) }); </script> </div></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile_edit-5ea339ee107c863779f560dd7275595239fed73f1a13d279d2b599a28c0ecd33.js","https://a.academia-assets.com/assets/add_coauthor-22174b608f9cb871d03443cafa7feac496fb50d7df2d66a53f5ee3c04ba67f53.js","https://a.academia-assets.com/assets/tab-dcac0130902f0cc2d8cb403714dd47454f11fc6fb0e99ae6a0827b06613abc20.js","https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js"], function() { // from javascript_helper.rb window.ae = window.ae || {}; window.ae.WowProfile = window.ae.WowProfile || {}; if(Aedu.User.current && Aedu.User.current.id === $viewedUser.id) { window.ae.WowProfile.current_user_edit = {}; new WowProfileEdit.EditUploadView({ el: '.js-edit-upload-button-wrapper', model: window.$current_user, }); new AddCoauthor.AddCoauthorsController(); } var userInfoView = new WowProfile.SocialRedesignUserInfo({ recaptcha_key: "6LdxlRMTAAAAADnu_zyLhLg0YF9uACwz78shpjJB" }); WowProfile.router = new WowProfile.Router({ userInfoView: userInfoView }); Backbone.history.start({ pushState: true, root: "/" + $viewedUser.page_name }); new WowProfile.UserWorksNav() }); </script> </div> <div class="bootstrap login"><div class="modal fade login-modal" id="login-modal"><div class="login-modal-dialog modal-dialog"><div class="modal-content"><div class="modal-header"><button class="close close" data-dismiss="modal" type="button"><span aria-hidden="true">×</span><span class="sr-only">Close</span></button><h4 class="modal-title text-center"><strong>Log In</strong></h4></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><button class="btn btn-fb btn-lg btn-block btn-v-center-content" id="login-facebook-oauth-button"><svg style="float: left; width: 19px; line-height: 1em; margin-right: .3em;" aria-hidden="true" focusable="false" data-prefix="fab" data-icon="facebook-square" class="svg-inline--fa fa-facebook-square fa-w-14" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M400 32H48A48 48 0 0 0 0 80v352a48 48 0 0 0 48 48h137.25V327.69h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.27c-30.81 0-40.42 19.12-40.42 38.73V256h68.78l-11 71.69h-57.78V480H400a48 48 0 0 0 48-48V80a48 48 0 0 0-48-48z"></path></svg><small><strong>Log in</strong> with <strong>Facebook</strong></small></button><br /><button class="btn btn-google btn-lg btn-block btn-v-center-content" id="login-google-oauth-button"><svg style="float: left; width: 22px; line-height: 1em; margin-right: .3em;" aria-hidden="true" focusable="false" data-prefix="fab" data-icon="google-plus" class="svg-inline--fa fa-google-plus fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M256,8C119.1,8,8,119.1,8,256S119.1,504,256,504,504,392.9,504,256,392.9,8,256,8ZM185.3,380a124,124,0,0,1,0-248c31.3,0,60.1,11,83,32.3l-33.6,32.6c-13.2-12.9-31.3-19.1-49.4-19.1-42.9,0-77.2,35.5-77.2,78.1S142.3,334,185.3,334c32.6,0,64.9-19.1,70.1-53.3H185.3V238.1H302.2a109.2,109.2,0,0,1,1.9,20.7c0,70.8-47.5,121.2-118.8,121.2ZM415.5,273.8v35.5H380V273.8H344.5V238.3H380V202.8h35.5v35.5h35.2v35.5Z"></path></svg><small><strong>Log in</strong> with <strong>Google</strong></small></button><br /><style type="text/css">.sign-in-with-apple-button { width: 100%; height: 52px; border-radius: 3px; border: 1px solid black; cursor: pointer; }</style><script src="https://appleid.cdn-apple.com/appleauth/static/jsapi/appleid/1/en_US/appleid.auth.js" type="text/javascript"></script><div class="sign-in-with-apple-button" data-border="false" data-color="white" id="appleid-signin"><span   ="Sign Up with Apple" class="u-fs11"></span></div><script>AppleID.auth.init({ clientId: 'edu.academia.applesignon', scope: 'name email', redirectURI: 'https://www.academia.edu/sessions', state: "b6c0c9c662f6a47f183e9ff5f9e13246f0e4df721f3f5376a9123a3ef476bbe4", });</script><script>// Hacky way of checking if on fast loswp if (window.loswp == null) { (function() { const Google = window?.Aedu?.Auth?.OauthButton?.Login?.Google; const Facebook = window?.Aedu?.Auth?.OauthButton?.Login?.Facebook; if (Google) { new Google({ el: '#login-google-oauth-button', rememberMeCheckboxId: 'remember_me', track: null }); } if (Facebook) { new Facebook({ el: '#login-facebook-oauth-button', rememberMeCheckboxId: 'remember_me', track: null }); } })(); }</script></div></div></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><div class="hr-heading login-hr-heading"><span class="hr-heading-text">or</span></div></div></div></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><form class="js-login-form" action="https://www.academia.edu/sessions" accept-charset="UTF-8" method="post"><input name="utf8" type="hidden" value="✓" autocomplete="off" /><input type="hidden" name="authenticity_token" value="KEUIRrBMgMxrDyJGnIsM69qoP9A8MRYQEprnICb7+MWGL83OV6JBiow/ZRecy2zQtY5Qv2jWaNXzUrO+SX8hmg==" autocomplete="off" /><div class="form-group"><label class="control-label" for="login-modal-email-input" style="font-size: 14px;">Email</label><input class="form-control" id="login-modal-email-input" name="login" type="email" /></div><div class="form-group"><label class="control-label" for="login-modal-password-input" style="font-size: 14px;">Password</label><input class="form-control" id="login-modal-password-input" name="password" type="password" /></div><input type="hidden" name="post_login_redirect_url" id="post_login_redirect_url" value="https://authfdf.academia.edu/EvdokimosKonstantinidis" autocomplete="off" /><div class="checkbox"><label><input type="checkbox" name="remember_me" id="remember_me" value="1" checked="checked" /><small style="font-size: 12px; margin-top: 2px; display: inline-block;">Remember me on this computer</small></label></div><br><input type="submit" name="commit" value="Log In" class="btn btn-primary btn-block btn-lg js-login-submit" data-disable-with="Log In" /></br></form><script>typeof window?.Aedu?.recaptchaManagedForm === 'function' && window.Aedu.recaptchaManagedForm( document.querySelector('.js-login-form'), document.querySelector('.js-login-submit') );</script><small style="font-size: 12px;"><br />or <a data-target="#login-modal-reset-password-container" data-toggle="collapse" href="javascript:void(0)">reset password</a></small><div class="collapse" id="login-modal-reset-password-container"><br /><div class="well margin-0x"><form class="js-password-reset-form" action="https://www.academia.edu/reset_password" accept-charset="UTF-8" method="post"><input name="utf8" type="hidden" value="✓" autocomplete="off" /><input type="hidden" name="authenticity_token" value="rP88J/0lWE8HZkRRJcvK3AikQsSDqZxmhl9qJfECCk0ClfmvGsuZCeBWAwAli6rnZ4Itq9dO4qNnlz67nobTEg==" autocomplete="off" /><p>Enter the email address you signed up with and we'll email you a reset link.</p><div class="form-group"><input class="form-control" name="email" type="email" /></div><script src="https://recaptcha.net/recaptcha/api.js" async defer></script> <script> var invisibleRecaptchaSubmit = function () { var closestForm = function (ele) { var curEle = ele.parentNode; while (curEle.nodeName !== 'FORM' && curEle.nodeName !== 'BODY'){ curEle = curEle.parentNode; } return curEle.nodeName === 'FORM' ? curEle : null }; var eles = document.getElementsByClassName('g-recaptcha'); if (eles.length > 0) { var form = closestForm(eles[0]); if (form) { form.submit(); } } }; </script> <input type="submit" data-sitekey="6Lf3KHUUAAAAACggoMpmGJdQDtiyrjVlvGJ6BbAj" data-callback="invisibleRecaptchaSubmit" class="g-recaptcha btn btn-primary btn-block" value="Email me a link" value=""/> </form></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/collapse-45805421cf446ca5adf7aaa1935b08a3a8d1d9a6cc5d91a62a2a3a00b20b3e6a.js"], function() { // from javascript_helper.rb $("#login-modal-reset-password-container").on("shown.bs.collapse", function() { $(this).find("input[type=email]").focus(); }); }); </script> </div></div></div><div class="modal-footer"><div class="text-center"><small style="font-size: 12px;">Need an account? <a rel="nofollow" href="https://www.academia.edu/signup">Click here to sign up</a></small></div></div></div></div></div></div><script>// If we are on subdomain or non-bootstrapped page, redirect to login page instead of showing modal (function(){ if (typeof $ === 'undefined') return; var host = window.location.hostname; if ((host === $domain || host === "www."+$domain) && (typeof $().modal === 'function')) { $("#nav_log_in").click(function(e) { // Don't follow the link and open the modal e.preventDefault(); $("#login-modal").on('shown.bs.modal', function() { $(this).find("#login-modal-email-input").focus() }).modal('show'); }); } })()</script> <div class="bootstrap" id="footer"><div class="footer-content clearfix text-center padding-top-7x" style="width:100%;"><ul class="footer-links-secondary footer-links-wide list-inline margin-bottom-1x"><li><a href="https://www.academia.edu/about">About</a></li><li><a href="https://www.academia.edu/press">Press</a></li><li><a rel="nofollow" href="https://medium.com/academia">Blog</a></li><li><a href="https://www.academia.edu/documents">Papers</a></li><li><a href="https://www.academia.edu/topics">Topics</a></li><li><a href="https://www.academia.edu/journals">Academia.edu Journals</a></li><li><a rel="nofollow" href="https://www.academia.edu/hiring"><svg style="width: 13px; height: 13px;" aria-hidden="true" focusable="false" data-prefix="fas" data-icon="briefcase" class="svg-inline--fa fa-briefcase fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M320 336c0 8.84-7.16 16-16 16h-96c-8.84 0-16-7.16-16-16v-48H0v144c0 25.6 22.4 48 48 48h416c25.6 0 48-22.4 48-48V288H320v48zm144-208h-80V80c0-25.6-22.4-48-48-48H176c-25.6 0-48 22.4-48 48v48H48c-25.6 0-48 22.4-48 48v80h512v-80c0-25.6-22.4-48-48-48zm-144 0H192V96h128v32z"></path></svg> <strong>We're Hiring!</strong></a></li><li><a rel="nofollow" href="https://support.academia.edu/"><svg style="width: 12px; height: 12px;" aria-hidden="true" focusable="false" data-prefix="fas" data-icon="question-circle" class="svg-inline--fa fa-question-circle fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M504 256c0 136.997-111.043 248-248 248S8 392.997 8 256C8 119.083 119.043 8 256 8s248 111.083 248 248zM262.655 90c-54.497 0-89.255 22.957-116.549 63.758-3.536 5.286-2.353 12.415 2.715 16.258l34.699 26.31c5.205 3.947 12.621 3.008 16.665-2.122 17.864-22.658 30.113-35.797 57.303-35.797 20.429 0 45.698 13.148 45.698 32.958 0 14.976-12.363 22.667-32.534 33.976C247.128 238.528 216 254.941 216 296v4c0 6.627 5.373 12 12 12h56c6.627 0 12-5.373 12-12v-1.333c0-28.462 83.186-29.647 83.186-106.667 0-58.002-60.165-102-116.531-102zM256 338c-25.365 0-46 20.635-46 46 0 25.364 20.635 46 46 46s46-20.636 46-46c0-25.365-20.635-46-46-46z"></path></svg> <strong>Help Center</strong></a></li></ul><ul class="footer-links-tertiary list-inline margin-bottom-1x"><li class="small">Find new research papers in:</li><li class="small"><a href="https://www.academia.edu/Documents/in/Physics">Physics</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Chemistry">Chemistry</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Biology">Biology</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Health_Sciences">Health Sciences</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Ecology">Ecology</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Earth_Sciences">Earth Sciences</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Cognitive_Science">Cognitive Science</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Mathematics">Mathematics</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a></li></ul></div></div><div class="DesignSystem" id="credit" style="width:100%;"><ul class="u-pl0x footer-links-legal list-inline"><li><a rel="nofollow" href="https://www.academia.edu/terms">Terms</a></li><li><a rel="nofollow" href="https://www.academia.edu/privacy">Privacy</a></li><li><a rel="nofollow" href="https://www.academia.edu/copyright">Copyright</a></li><li>Academia ©2024</li></ul></div><script> //<![CDATA[ window.detect_gmtoffset = true; window.Academia && window.Academia.set_gmtoffset && Academia.set_gmtoffset('/gmtoffset'); //]]> </script> <div id='overlay_background'></div> <div id='bootstrap-modal-container' class='bootstrap'></div> <div id='ds-modal-container' class='bootstrap DesignSystem'></div> <div id='full-screen-modal'></div> </div> </body> </html>