Presentation	2004/9/4 Hand gesture recognition as multi-modal interface for PC Yohei Sato, Kokichi Sugihara,
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Abstract(in English)	Hand gesture recognition is one of the most important researches for Human-computer interaction, and this paper presents a gesture recognition approach for an interface between human and a PC, which will replace current interface tools such as a mouse and a keyboard. A typical process for hand gesture recognition consists of three steps: image processing, feature extraction and recognition. In this paper, we improve the previous work especially on the steps of feature extraction and recognition. In particular, in the feature extraction step, we exploit statistical methods including discriminant analysis. As a result, we could construct gesture set which can be recognized in a higher recognition rate than the previous approach.
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Paper #	PRMU2004-76
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Committee	PRMU
Conference Date	2004/9/4(1days)
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Registration To	Pattern Recognition and Media Understanding (PRMU)
Language	JPN
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Title (in English)	Hand gesture recognition as multi-modal interface for PC
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1st Author's Name	Yohei Sato
1st Author's Affiliation	Mathematical Informatics, Graduate School of Information Science and Technology, University of Tokyo()
2nd Author's Name	Kokichi Sugihara
2nd Author's Affiliation	Mathematical Informatics, Graduate School of Information Science and Technology, University of Tokyo
Date	2004/9/4
Paper #	PRMU2004-76
Volume (vol)	vol.104
Number (no)	291
Page	pp.pp.-
#Pages	8
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