Presentation | 2010-05-22 Sign Language Recognition Considering Signer and Motion Diversity Using HMM Koki ARIGA, Shinji SAKO, Tadashi KITAMURA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In sign language recognition, feature extraction and modeling is important, and we use hand transition and Hidden Markov Model as sign feature and model. On the image, the value of hand transition may vary because of difference of body-size and position. So feature normalization is employed to correct these differences. And, each sign motion may vary every time signer performs, even if these are same word. So we should use a model topology considering these aspect. In this report, we describe a method of constructing various transitional topology of word HMM by sharing common segment over some words sequence. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | sign language recognition / HMM / subunit / transitional topology / normalization |
Paper # | WIT2010-11 |
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Committee | WIT |
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Conference Date | 2010/5/14(1days) |
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Registration To | Well-being Information Technology(WIT) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Sign Language Recognition Considering Signer and Motion Diversity Using HMM |
Sub Title (in English) | |
Keyword(1) | sign language recognition |
Keyword(2) | HMM |
Keyword(3) | subunit |
Keyword(4) | transitional topology |
Keyword(5) | normalization |
1st Author's Name | Koki ARIGA |
1st Author's Affiliation | Department of Computer Science and Engineering Graduate School of Engineering Nagoya Institute of Technology() |
2nd Author's Name | Shinji SAKO |
2nd Author's Affiliation | Department of Computer Science and Engineering Graduate School of Engineering Nagoya Institute of Technology |
3rd Author's Name | Tadashi KITAMURA |
3rd Author's Affiliation | Department of Computer Science and Engineering Graduate School of Engineering Nagoya Institute of Technology |
Date | 2010-05-22 |
Paper # | WIT2010-11 |
Volume (vol) | vol.110 |
Number (no) | 53 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |