Presentation 2001/1/11
Real-time gesture recognition using HMMs
Yoshimichi Ueki, Yoshio Iwai, Masahiko Yachida,
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Abstract(in English) HMMs are often used for gesture recognition because of the robustness. However, the computational cost of recognition and segmentation of gestures are important for real applications such as gesture recognition, speech recognition or virtual reality. In this paper, we propose a method for performance improvement of gesture recognition using HMMs. For the segmentation of gestures, we use an automaton layered up on HMMs to deal with context information of gestures. We also show experimental results to make the efficiency of our methods clear.
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Keyword(in English) gesture recognition / HMMs / automaton / segmentation
Paper # PRMU2000-150
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Conference Information
Committee PRMU
Conference Date 2001/1/11(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Real-time gesture recognition using HMMs
Sub Title (in English)
Keyword(1) gesture recognition
Keyword(2) HMMs
Keyword(3) automaton
Keyword(4) segmentation
1st Author's Name Yoshimichi Ueki
1st Author's Affiliation Graduate School of Engineering Science, Osaka University()
2nd Author's Name Yoshio Iwai
2nd Author's Affiliation Graduate School of Engineering Science, Osaka University
3rd Author's Name Masahiko Yachida
3rd Author's Affiliation Graduate School of Engineering Science, Osaka University
Date 2001/1/11
Paper # PRMU2000-150
Volume (vol) vol.100
Number (no) 565
Page pp.pp.-
#Pages 6
Date of Issue