Presentation | 2001/1/11 Real-time gesture recognition using HMMs Yoshimichi Ueki, Yoshio Iwai, Masahiko Yachida, |
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Abstract(in Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | gesture recognition / HMMs / automaton / segmentation |
Paper # | PRMU2000-150 |
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Committee | PRMU |
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Conference Date | 2001/1/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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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 |
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