Presentation 2010-01-08
Automatic Generation of Word Level Subunits for Japanese Sign Language Using HMM
Koki ARIGA, Shinji SAKO, Tadashi KITAMURA,
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Abstract(in English) Sign language is constructed by sequentially-concatenated subunits, which are constituent element shared over some sign words. All subunits are self-organized from data itself by clustering many states of Hidden Markov Model. 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. This topology is created by using subunuit for sign language recognition.
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Keyword(in English) sign recognition / HMM / subunit / estimation of transitional topology
Paper # WIT2009-68
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Committee WIT
Conference Date 2010/1/1(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Automatic Generation of Word Level Subunits for Japanese Sign Language Using HMM
Sub Title (in English)
Keyword(1) sign recognition
Keyword(2) HMM
Keyword(3) subunit
Keyword(4) estimation of transitional topology
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 2010-01-08
Paper # WIT2009-68
Volume (vol) vol.109
Number (no) 358
Page pp.pp.-
#Pages 6
Date of Issue