Hand gesture recognition based on SOM and ART

Authors:
Mu-Chun Su;Chao-Hsin Hung
Affiliations:
Department of Computer Science & Information Engineering, National Central University, Taiwan, R.O.C.;Department of Computer Science & Information Engineering, National Central University, Taiwan, R.O.C.
Venue:
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
Year:
2006

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Abstract

Gesture recognition is needed for a variety of applications such as human-computer interfaces, communication aids for the deaf, etc. In this paper, we present a SOMART system for the recognition of hand gestures. The sequence of a hand gesture is first projected into a 2-dimensional trajectory on a self-organizing feature map (SOM). Then the problem of recognizing hand gestures is transformed to the problem of recognizing hand-written characters. An ART-like algorithm generates multiple templates for each hand gesture. Finally, an unknown gesture is classified to be the gesture with the maximum similarity in the vocabulary via a template matching technique. A database consisted of 47 static hand gestures and 8 dynamic hand gestures was tested to demonstrate the performance of the proposed method.