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http://dx.doi.org/10.5391/JKIIS.2006.16.5.587

Development of Emotion-Based Human Interaction Method for Intelligent Robot  

Joo, Young-Hoon (군산대학교 전자정보공학부)
So, Jea-Yun (군산대학교 전자정보공학부)
Sim, Kee-Bo (중앙대학교 전자전기공학부)
Song, Min-Kook (연세대학교 전기전자공학과)
Park, Jin-Bae (연세대학교 전기전자공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.16, no.5, 2006 , pp. 587-593 More about this Journal
Abstract
This paper is to present gesture analysis for human-robot interaction. Understanding human emotions through gesture is one of the necessary skills for the computers to interact intelligently with their human counterparts. Gesture analysis is consisted of several processes such as detecting of hand, extracting feature, and recognizing emotions. For efficient operation we used recognizing a gesture with HMM(Hidden Markov Model). We constructed a large gesture database, with which we verified our method. As a result, our method is successfully included and operated in a mobile system.
Keywords
Emotion recognition; Hidden Markov Model(HMM); Pattern recognition; Fuzzy classifier;
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