Towards recognizing emotion with affective dimensions through body gestures
Due to the ever-increasing importance of computers in many areas of today's society such as e-learning, telehome-health care, and entertainment, their ability to interact well with humans is essential. Currently, researchers are using facial expression and voice recognition modalities to create...
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creator | De Silva, P.R. Osano, M. Marasinghe, A. Madurapperuma, A.P. |
description | Due to the ever-increasing importance of computers in many areas of today's society such as e-learning, telehome-health care, and entertainment, their ability to interact well with humans is essential. Currently, researchers are using facial expression and voice recognition modalities to create systems that interact with humans. But still two problems exist: gesture is not yet a concern as a channel of affective communication in interactive technology, and existing systems only model discrete categories but not affective dimensions, e.g., intensity. Our focus has been on creating affective gesture recognition system that recognize child's emotion with intensity through body gestures in context of game. This information is then used by a game control module that users a rule-based adaptation model to change game level according to the child's intensity of emotions. Results show that affective gesture recognition model recognized child's emotion over 79% of the cases and the proposed intensity estimate model has a strong relationship with observer perception except in the low intensity level |
doi_str_mv | 10.1109/FGR.2006.106 |
format | Conference Proceeding |
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Results show that affective gesture recognition model recognized child's emotion over 79% of the cases and the proposed intensity estimate model has a strong relationship with observer perception except in the low intensity level</description><subject>Adaptation model</subject><subject>Biological system modeling</subject><subject>Communication system control</subject><subject>Communications technology</subject><subject>Context</subject><subject>Electronic learning</subject><subject>Emotion recognition</subject><subject>Face recognition</subject><subject>Humans</subject><subject>Speech recognition</subject><isbn>0769525032</isbn><isbn>9780769525037</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjE9LwzAcQAMiqHM3b17yBTrzy7-lRxluigNBeh9p-ksbsY0kmWN-egv6Lu_w4BFyB2wFwOqH7e59xRnTK2D6gtywta4VV0zwK7LM-YPNiFoYENfktYknm7pME7rYT-EnTD3FMZYQJ3oKZaDWe3QlfCPtwohTnkOmZUjx2A-0jd2Z9pjLMWG-JZfefmZc_ntBmu1Ts3mu9m-7l83jvnIcTKkMuNYo7SxI7qHlXes1lyCdZKjQOSN859fa19IqaTlTda0NKiM7QD3XBbn_2wZEPHylMNp0PoAGwQSIX_PwS3E</recordid><startdate>2006</startdate><enddate>2006</enddate><creator>De Silva, P.R.</creator><creator>Osano, M.</creator><creator>Marasinghe, A.</creator><creator>Madurapperuma, A.P.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2006</creationdate><title>Towards recognizing emotion with affective dimensions through body gestures</title><author>De Silva, P.R. ; Osano, M. ; Marasinghe, A. ; Madurapperuma, A.P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c218t-81cb856ca142f1b2dbf62414c40e5ecc83fdf76f94a54a2059968e584d1e6c83</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Adaptation model</topic><topic>Biological system modeling</topic><topic>Communication system control</topic><topic>Communications technology</topic><topic>Context</topic><topic>Electronic learning</topic><topic>Emotion recognition</topic><topic>Face recognition</topic><topic>Humans</topic><topic>Speech recognition</topic><toplevel>online_resources</toplevel><creatorcontrib>De Silva, P.R.</creatorcontrib><creatorcontrib>Osano, M.</creatorcontrib><creatorcontrib>Marasinghe, A.</creatorcontrib><creatorcontrib>Madurapperuma, A.P.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>De Silva, P.R.</au><au>Osano, M.</au><au>Marasinghe, A.</au><au>Madurapperuma, A.P.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Towards recognizing emotion with affective dimensions through body gestures</atitle><btitle>7th International Conference on Automatic Face and Gesture Recognition (FGR06)</btitle><stitle>AFGR</stitle><date>2006</date><risdate>2006</risdate><spage>269</spage><epage>274</epage><pages>269-274</pages><isbn>0769525032</isbn><isbn>9780769525037</isbn><abstract>Due to the ever-increasing importance of computers in many areas of today's society such as e-learning, telehome-health care, and entertainment, their ability to interact well with humans is essential. 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ispartof | 7th International Conference on Automatic Face and Gesture Recognition (FGR06), 2006, p.269-274 |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Adaptation model Biological system modeling Communication system control Communications technology Context Electronic learning Emotion recognition Face recognition Humans Speech recognition |
title | Towards recognizing emotion with affective dimensions through body gestures |
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