Finger recognition for hand pose determination

Authors:
J. R. Parker;Mark Baumback
Affiliations:
Faculty of Fine Arts, University of Calgary, Calgary, Canada;Amazon.com, Seattle, WA
Venue:
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Year:
2009

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Abstract

Hand pose and gesture recognition methods have been based on many properties of hand images, but using finger recognition is unique. Here we describe hand pose from finger recognition, its limitations and its advantages. The implementation is being used for some real applications, including interfaces and computer games, and has a success rate of over 98%.