Presentation	2004/5/21 Recognition of Sign Language using HMM Yasutaka KANAYAMA, Yoshiaki SHIRAI, Nobutaka SHIMADA,
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Abstract(in English)	This thesis states recognition of sign language using HMM. We track elbow,decide hand and face region, and extract features of finger. These features are used by HMM recognition. We state decision rule of number of state,and result of experiment.
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Keyword(in English)	HMM / Sign Language / Iraage Processing
Paper #	PRMU2004-16,MI2004-16,WIT2004-16
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Committee	WIT
Conference Date	2004/5/21(1days)
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Registration To	Well-being Information Technology(WIT)
Language	JPN
Title (in Japanese)	(See Japanese page)
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Title (in English)	Recognition of Sign Language using HMM
Sub Title (in English)
Keyword(1)	HMM
Keyword(2)	Sign Language
Keyword(3)	Iraage Processing
1st Author's Name	Yasutaka KANAYAMA
1st Author's Affiliation	Department of Computer-Controlled Mechanical Systems Graduate School of Engineering Osaka University()
2nd Author's Name	Yoshiaki SHIRAI
2nd Author's Affiliation	Department of Computer-Controlled Mechanical Systems Graduate School of Engineering Osaka University
3rd Author's Name	Nobutaka SHIMADA
3rd Author's Affiliation	Department of Computer-Controlled Mechanical Systems Graduate School of Engineering Osaka University
Date	2004/5/21
Paper #	PRMU2004-16,MI2004-16,WIT2004-16
Volume (vol)	vol.104
Number (no)	93
Page	pp.pp.-
#Pages	8
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