칼라 비젼을 이용한 실시간 손동작 인식 시스템에 관한 연구

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In this thesis, a real-time recognizing system is studied for human machine interface. Specifically, the problem of vision-based human hand tracking is studied. In this study, the real-time implementation issue and a means of how to convey various human intentions to a machine are investigated. For this, a special color vision system for real-time image processing is designed. Also, for recognition of hand gestures, expandable gesture sets are introduced. This system overcomes some disadvantages of a hand tracking device that does not show other objects besides the hand motion To show applications of the proposed system, human machine interface to PUMA560 is implemented and experimentally tested.
Publisher
대한전자공학회
Issue Date
1996
Language
Korean
Citation

전자공학회논문지

ISSN
1057-7130
URI
http://hdl.handle.net/10203/78137
Appears in Collection
EE-Journal Papers(저널논문)
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