Intention Recognition using a Graph Representation

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Graph Representation</title> <meta name="description" content="Intention Recognition using a Graph Representation"> <meta name="keywords" content="Intention recognition, intention, graph, HCI."> <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="Intention Recognition using a Graph Representation"> <meta name="citation_author" content="So-Jeong Youn"> <meta name="citation_author" content="Kyung-Whan Oh"> <meta name="citation_publication_date" content="2007/01/20"> <meta name="citation_journal_title" content="International Journal of Computer and Information Engineering"> <meta name="citation_volume" content="1"> <meta name="citation_issue" content="1"> <meta name="citation_firstpage" content="1"> <meta name="citation_lastpage" content="6"> <meta name="citation_pdf_url" content="https://publications.waset.org/11699/pdf"> <link 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of a human-centered system. Over the years, it has received much attention to develop the convenient interaction through intention recognition. Intention recognition processes multimodal inputs including speech, face images, and body gestures. In this paper, we suggest a novel approach of intention recognition using a graph representation called Intention Graph. A concept of valid intention is proposed, as a target of intention recognition. Our approach has two phases: goal recognition phase and intention recognition phase. In the goal recognition phase, we generate an action graph based on the observed actions, and then the candidate goals and their plans are recognized. In the intention recognition phase, the intention is recognized with relevant goals and user profile. We show that the algorithm has polynomial time complexity. The intention graph is applied to a simple briefcase domain to test our model. <iframe src="https://publications.waset.org/11699.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Intention%20recognition" title="Intention recognition">Intention recognition</a>, <a href="https://publications.waset.org/search?q=intention" title=" intention"> intention</a>, <a href="https://publications.waset.org/search?q=graph" title=" graph"> graph</a>, <a href="https://publications.waset.org/search?q=HCI." title=" HCI."> HCI.</a> </p> <p class="card-text"><strong>Digital Object Identifier (DOI):</strong> <a href="https://doi.org/10.5281/zenodo.1077777" target="_blank">doi.org/10.5281/zenodo.1077777</a> </p> <a href="https://publications.waset.org/11699/intention-recognition-using-a-graph-representation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/11699/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/11699/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/11699/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/11699/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/11699/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/11699/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/11699/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/11699/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/11699/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/11699/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/11699.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">3397</span> </span> <p class="card-text"><strong>References:</strong></p> <br>[1] C. Breazeal, "Social interactions in HRI: The robot view", IEEE Trans. Systems, Man, and Cybernetics, vol.52, no.6, pp 181-186, May 2004. <br>[2] Farrah Wong, Kwang-Hyun Park, Dae-Jin Kim, Jin-Woo Jung and Zeungnam Bien, "Intention reading towards engineering applications for the elderly and people with disabilities", in International Journal of ARM, vol. 7, no. 3, pp. 3-15, September 2006. <br>[3] Ann Elwan, Poverty and disability - a survey of the literature, social protection discussion paper series, Social Protection Unit, Human Development Network, The World Back, no 9932, pp. 5, Dec. 1999. <br>[4] M. Rahimi and W. Karwowski (Eds.), Human-Robot Interaction, London: Taylor and Francis, pp.2, 1992. <br>[5] Jun Hong, "Goal recognition through goal graph analysis", Journal of Artificial Intelligence Research, vol.15, pp. 1-30, 2001. <br>[6] Avrim L. Blum, Merrick L. Furst, "Fast planning through planning graph analysis", Artificial Intelligence, pp. 281-300, 1997. <br>[7] E. P. D. Pednault, "Synthesizing plans that contain actions with context-dependent effects", Computational Intelligence, vol. 4, pp. 356-372. <br>[8] Chiung-Hon Leon Lee, and Alan Liu, "An intention-aware interface for services access enhancement", in Proc. of the IEEE Int. Conf. on Sensor Networks, Ubiquitous, and Trustworthy Computing, vol.2, pp.52-57, 2006. <br>[9] Tomomasa Sato, Yoshifumi Nishida, Junri Ichikawa, Yotaro Hatamura, and Hiroshi Mizoguchi, "Active understanding of human intention by a robot through monitoring of human behavior", Proc. of IROS ?94, vol.1, pp.405-414, 1994. <br>[10] Yoshinori Kuno, Nobutaka Shimada, and Yoshiaki Shirai, "Look where you're going", IEEE Robotics & Automation Magazine, pp.26-34, March 2003. <br>[11] D. J. Kim, W. K. Song, J. S. Han, Z. Zenn Bien, "Soft computing based intention reading techniques as a means of human-robot interaction for human centered system", Soft Computing, pp. 160-166, 7, 2003. <br>[12] Toru Yamaguchi,Shinya Mizuno, Takuya Yoshida, and Tomomi Hashimoto, "Cooperative works for agent robot and human using robot vision based on the model of knowledge, emotion and intention", Proc. of IEEE SMC '99, vol.2, pp.987-992, 1999. <br>[13] Soshi Iba, Christiaan J. J. Paredis, Pradeep K. Khosla, "Interactive multi-modal robot programming", In Proc. of the 9th Intl. Symposium of Experimental Robotics, June, 2004. <br>[14] Z.Zenn Bien, Kwang-Hyun Park, Jin-Woo Jung, and Jun-Hyeong Do, "Intention reading is essential in human-friendly interfaces for the elderly and the handicapped", IEEE Trans. On Industrial Electronics, vol.52, no.6, December 2005. </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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Intention Recognition using a Graph Representation