Sign language recognition using 3-D Hopfield neural network

Authors:
Chung-Lin Huang;Wen-Yi Huang;Cheng-Chang Lien
Affiliations:
-;-;-
Venue:
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
Year:
1995

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Abstract

This paper presents a sign language recognition system which consists of three modules: model-based hand tracking, feature extraction, and gesture recognition using a 3-D Hopfield neural network. In the experiments, we illustrate that this system can recognize 15 different gestures accurately.