Fitness Action Recognition Based on MediaPipe

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on MediaPipe</title> <meta name="description" content="Fitness Action Recognition Based on MediaPipe"> <meta name="keywords" content="Computer Vision, MediaPipe, Adaptive Boosting, Fast Dynamic Time Warping."> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <meta name="citation_title" content="Fitness Action Recognition Based on MediaPipe"> <meta name="citation_author" content="Zixuan Xu"> <meta name="citation_author" content="Yichun Lou"> <meta name="citation_author" content="Yang Song"> <meta name="citation_author" content="Zihuai Lin"> <meta name="citation_publication_date" content="2023/03/07"> <meta name="citation_journal_title" content="International Journal of Electronics and Communication Engineering"> <meta name="citation_volume" content="17"> <meta name="citation_issue" content="3"> <meta name="citation_firstpage" content="201"> <meta name="citation_lastpage" content="208"> <meta 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href="https://publications.waset.org/search?q=Yang%20Song"> Yang Song</a>, <a href="https://publications.waset.org/search?q=Zihuai%20Lin"> Zihuai Lin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>MediaPipe is an open-source machine learning computer vision framework that can be ported into a multi-platform environment, which makes it easier to use it to recognize human activity. Based on this framework, many human recognition systems have been created, but the fundamental issue is the recognition of human behavior and posture. In this paper, two methods are proposed to recognize human gestures based on MediaPipe, the first one uses the Adaptive Boosting algorithm to recognize a series of fitness gestures, and the second one uses the Fast Dynamic Time Warping algorithm to recognize 413 continuous fitness actions. These two methods are also applicable to any human posture movement recognition.</p> <iframe src="https://publications.waset.org/10012992.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Computer%20Vision" title="Computer Vision">Computer Vision</a>, <a href="https://publications.waset.org/search?q=MediaPipe" title=" MediaPipe"> MediaPipe</a>, <a href="https://publications.waset.org/search?q=Adaptive%20Boosting" title=" Adaptive Boosting"> Adaptive Boosting</a>, <a href="https://publications.waset.org/search?q=Fast%0D%0ADynamic%20Time%20Warping." title=" Fast Dynamic Time Warping."> Fast Dynamic Time Warping.</a> </p> <a href="https://publications.waset.org/10012992/fitness-action-recognition-based-on-mediapipe" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10012992/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10012992/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10012992/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10012992/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10012992/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10012992/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10012992/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10012992/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10012992/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10012992/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10012992.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">857</span> </span> <p class="card-text"><strong>References:</strong></p> <br>[1] C. Lugaresi et al., “MediaPipe: A Framework for Building Perception Pipelines.” arXiv, Jun. 14, 2019. doi: 10.48550/arXiv.1906.08172. <br>[2] “Home,” mediapipe. https://google.github.io/mediapipe/ (accessed Oct. 27, 2022). <br>[3] “Pose,” mediapipe. https://google.github.io/mediapipe/solutions/pose.html (accessed Oct. 27, 2022). <br>[4] Y. Freund and R. E. Schapire, ”A short introduction to boosting”, J. Jpn. Soc. Artif. Intell., vol. 14, no. 5, pp. 771-780, Sep. 1999. <br>[5] R. E. Schapire, Y. Freund, P. Bartlett and W. S. Lee, ”Boosting the margin: A new explanation for the effectiveness of voting methods”, Ann. Statist., vol. 26, no. 5, pp. 1651-1686, 1998. <br>[6] S. Wu and H. Nagahashi, ”Parameterized AdaBoost: Introducing a Parameter to Speed Up the Training of Real AdaBoost,” in IEEE Signal Processing Letters, vol. 21, no. 6, pp. 687-691, June 2014, doi: 10.1109/LSP.2014.2313570. <br>[7] Y. Freund and R. E. Schapire, “A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting,” Journal of Computer and System Sciences, vol. 55, no. 1, pp. 119–139, 1997, doi: 10.1006/jcss.1997.1504. <br>[8] R. E. Schapire and Y. Singer, “Improved boosting algorithms using confidence-rated predictions,” Proceedings of the eleventh annual conference on Computational learning theory - COLT’ 98, 1998. <br>[9] S. Salvador and P. Chan, “FastDTW: Toward Accurate Dynamic Time Warping in Linear Time and Space,” p. 11. <br>[10] ”Hi Fitness Action Library: A complete collection of fitness actions, detailed action diagrams and action video teaching!” https://www.hiyd.com/dongzuo/ (accessed Oct. 27, 2022). </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Explore <li><a href="https://waset.org/disciplines">Disciplines</a></li> <li><a href="https://waset.org/conferences">Conferences</a></li> <li><a href="https://waset.org/conference-programs">Conference Program</a></li> <li><a href="https://waset.org/committees">Committees</a></li> <li><a href="https://publications.waset.org">Publications</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Research <li><a href="https://publications.waset.org/abstracts">Abstracts</a></li> <li><a href="https://publications.waset.org">Periodicals</a></li> <li><a href="https://publications.waset.org/archive">Archive</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Open Science <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Philosophy.pdf">Open Science Philosophy</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Award.pdf">Open Science Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Society-Open-Science-and-Open-Innovation.pdf">Open Innovation</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Postdoctoral-Fellowship-Award.pdf">Postdoctoral Fellowship Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Scholarly-Research-Review.pdf">Scholarly Research Review</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Support <li><a href="https://waset.org/page/support">Support</a></li> <li><a href="https://waset.org/profile/messages/create">Contact Us</a></li> <li><a href="https://waset.org/profile/messages/create">Report Abuse</a></li> </ul> </div> </div> </div> </div> </div> <div class="container text-center"> <hr style="margin-top:0;margin-bottom:.3rem;"> <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" class="text-muted small">Creative Commons Attribution 4.0 International License</a> <div id="copy" class="mt-2">© 2024 World Academy of Science, Engineering and Technology</div> </div> </footer> <a href="javascript:" id="return-to-top"><i class="fas fa-arrow-up"></i></a> <div class="modal" id="modal-template"> <div class="modal-dialog"> <div class="modal-content"> <div class="row m-0 mt-1"> <div class="col-md-12"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> </div> </div> <div class="modal-body"></div> </div> </div> </div> <script src="https://cdn.waset.org/static/plugins/jquery-3.3.1.min.js"></script> <script src="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/js/bootstrap.bundle.min.js"></script> <script src="https://cdn.waset.org/static/js/site.js?v=150220211556"></script> <script> jQuery(document).ready(function() { /*jQuery.get("https://publications.waset.org/xhr/user-menu", function (response) { jQuery('#mainNavMenu').append(response); });*/ jQuery.get({ url: "https://publications.waset.org/xhr/user-menu", cache: false }).then(function(response){ jQuery('#mainNavMenu').append(response); }); }); </script> </body> </html>

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Fitness Action Recognition Based on MediaPipe