소프트 컴퓨팅 기법을 이용한 개인화된 손동작 인식 시스템 A Personalized Hand Gesture Recognition Systemusing Soft Computing Techniques

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Recently, vision-based hand gesture recognition techniques have been developed for assisting elderly and disabled people to control home appliances. Frequently occurred problems which lower the hand gesture recognition rate are due to the inter-person variation and intra-person variation. The recognition difficulty caused by inter-person variation can be handled by using user dependent model and model selection technique. And the recognition difficulty caused by intra-person variation can be handled by using fuzzy logic. In this paper, we propose multivariate fuzzy decision tree learning and classification method for a hand motion recognition system for multiple users. When a user starts to use the system, the most appropriate recognition model is selected and used for the user.
Publisher
한국지능시스템학회
Issue Date
2008-02
Language
Korean
Citation

한국지능시스템학회 논문지, v.18, no.1, pp.53 - 59

ISSN
1976-9172
URI
http://hdl.handle.net/10203/207259
Appears in Collection
BiS-Journal Papers(저널논문)EE-Journal Papers(저널논문)
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