HMM-Based Gesture Recognition for Robot Control
Identifieur interne : 006780 ( Main/Merge ); précédent : 006779; suivant : 006781HMM-Based Gesture Recognition for Robot Control
Auteurs : Sun Park [Corée du Sud] ; Yi Kim [Corée du Sud] ; Su Jang [Corée du Sud] ; Hyun Park [Corée du Sud] ; Ho Park [Corée du Sud] ; Joon Kim [Corée du Sud]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2005.
Abstract
Abstract: In this paper, we present a gesture recognition system for an interaction between a human being and a robot. To recognize human gesture, we use a hidden Markov model (HMM) which takes a continuous stream as an input and can automatically segments and recognizes human gestures. The proposed system is composed of three modules: a pose extractor, a gesture recognizer, and a robot controller. The pose extractor replaces an input frame by a pose symbol. In this system, a pose represents the position of user’s face and hands. Thereafter the gesture recognizer recognizes a gesture using a HMM, which performs both segmentation and recognition of the human gesture simultaneously [6]. Finally, the robot controller handles the robot as transforming the recognized gesture into robot commands. To assess the validity of the proposed system, we used the proposed recognition system as an interface to control robots, RCB-1 robot. The experimental results verify the feasibility and validity of the proposed system.
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DOI: 10.1007/11492429_73
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wicri:rule="url">Corée du Sud</country></affiliation></author><author><name sortKey="Kim, Yi" sort="Kim, Yi" uniqKey="Kim Y" first="Yi" last="Kim">Yi Kim</name><affiliation wicri:level="1"><country xml:lang="fr">Corée du Sud</country><wicri:regionArea>Department of Internet and Multimedia Engineering, Konkuk Univ., NITRI</wicri:regionArea><wicri:noRegion>NITRI</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Corée du Sud</country></affiliation></author><author><name sortKey="Jang, Su" sort="Jang, Su" uniqKey="Jang S" first="Su" last="Jang">Su Jang</name><affiliation wicri:level="1"><country xml:lang="fr">Corée du Sud</country><wicri:regionArea>Department of Computer Engineering, Kyungpook National Univ</wicri:regionArea><wicri:noRegion>Kyungpook National Univ</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Corée du Sud</country></affiliation></author><author><name sortKey="Park, Hyun" sort="Park, Hyun" uniqKey="Park H" first="Hyun" last="Park">Hyun Park</name><affiliation wicri:level="1"><country xml:lang="fr">Corée du Sud</country><wicri:regionArea>School of Computer and Communication, Daegu Univ</wicri:regionArea><wicri:noRegion>Daegu Univ</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Corée du Sud</country></affiliation></author><author><name sortKey="Park, Ho" sort="Park, Ho" uniqKey="Park H" first="Ho" last="Park">Ho Park</name><affiliation wicri:level="1"><country xml:lang="fr">Corée du Sud</country><wicri:regionArea>Information Technology Services, Kyungpook National Univ</wicri:regionArea><wicri:noRegion>Kyungpook National Univ</wicri:noRegion></affiliation><affiliation><wicri:noCountry code="no comma">E-mail: parkminho@msn.com</wicri:noCountry></affiliation></author><author><name sortKey="Kim, Joon" sort="Kim, Joon" uniqKey="Kim J" first="Joon" last="Kim">Joon Kim</name><affiliation wicri:level="1"><country xml:lang="fr">Corée du Sud</country><wicri:regionArea>Department of Computer Engineering, Kyungpook National Univ</wicri:regionArea><wicri:noRegion>Kyungpook National Univ</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Corée du Sud</country></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2005</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">2A9B1CC171E313BA1A9E52492FFF121DE42AF10D</idno><idno type="DOI">10.1007/11492429_73</idno><idno type="ChapterID">73</idno><idno type="ChapterID">Chap73</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: In this paper, we present a gesture recognition system for an interaction between a human being and a robot. To recognize human gesture, we use a hidden Markov model (HMM) which takes a continuous stream as an input and can automatically segments and recognizes human gestures. The proposed system is composed of three modules: a pose extractor, a gesture recognizer, and a robot controller. The pose extractor replaces an input frame by a pose symbol. In this system, a pose represents the position of user’s face and hands. Thereafter the gesture recognizer recognizes a gesture using a HMM, which performs both segmentation and recognition of the human gesture simultaneously [6]. Finally, the robot controller handles the robot as transforming the recognized gesture into robot commands. To assess the validity of the proposed system, we used the proposed recognition system as an interface to control robots, RCB-1 robot. The experimental results verify the feasibility and validity of the proposed system.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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