Presentation 2015-08-26
A study on phonemic weight estimation for HMM-based sign language recognition using phonemic structure
Shinji Sako, Kaho Sugi, Tadashi Kitamura,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We work on automatic Japanese sign Language (JSL) recognition using hidden Markov models (HMMs). An important issue for modeling sign is that how to determine the constituent element of sign (i.e., subunit) like "phoneme" in spoken language. We focused on special feature of sign language that JSL is composed of three types of phonological elements which is hand local information, position, and movement. We have proposed an efficiently method of generating subunit using multi-stream HMM which is correspond to phonological elements. In this study, we propose a method to build the decision tree to estimate optimal weight parameter using JSL dictionary.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) sign language recognition / hidden Markov model / phonology
Paper # WIT2015-47
Date of Issue 2015-08-18 (WIT)

Conference Information
Committee WIT
Conference Date 2015/8/25(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Shinshu University Faculty of Engineering
Topics (in Japanese) (See Japanese page)
Topics (in English) Well-being Information Technology, etc.
Chair Kiyohiko Nunokawa(Tokyo International Univ.)
Vice Chair Chikamune Wada(Kyushu Inst. of Tech.)
Secretary Chikamune Wada(Nagoya Inst. of Tech.)
Assistant Tomohiro Amemiya(NTT) / Takeaki Shionome(Tsukuba Univ. of Tech.) / Manabi Miyagi(Tsukuba Univ. of Tech.)

Paper Information
Registration To Technical Committee on Well-being Information Technology
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A study on phonemic weight estimation for HMM-based sign language recognition using phonemic structure
Sub Title (in English)
Keyword(1) sign language recognition
Keyword(2) hidden Markov model
Keyword(3) phonology
1st Author's Name Shinji Sako
1st Author's Affiliation Nagoya Institute of Technology(NIT)
2nd Author's Name Kaho Sugi
2nd Author's Affiliation Nagoya Institute of Technology(NIT)
3rd Author's Name Tadashi Kitamura
3rd Author's Affiliation Nagoya Institute of Technology(NIT)
Date 2015-08-26
Paper # WIT2015-47
Volume (vol) vol.115
Number (no) WIT-193
Page pp.pp.59-64(WIT),
#Pages 6
Date of Issue 2015-08-18 (WIT)