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http://dx.doi.org/10.6109/jkiice.2007.11.7.1348

Dynamic Training Algorithm for Hand Gesture Recognition System  

Bae, Cheol-Soo (관동대학교 전자정보통신공학부)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.11, no.7, 2007 , pp. 1348-1353 More about this Journal
Abstract
We developed an augmented new reality tool for vision-based hand gesture recognition in a camera-projector system. Our recognition method uses modified Fourier descriptors for the classification of static hand gestures. Hand segmentation is based on a background subtraction method, which is improved to handle background changes. Most of the recognition methods are trained and tested by the same service-person, and training phase occurs only preceding the interaction. However, there are numerous situations when several untrained users would like to use gestures for the interaction. In our new practical approach the correction of faulty detected gestures is done during the recognition itself. Our main result is the quick on-line adaptation to the gestures of a new user to achieve user-independent gesture recognition.
Keywords
hand gesture recognition; dynamic training; supervised training;
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