T. Yamaguchi, M. Yoshihara, M. Akiba, M. Kuga, N. Kanazawa, K. Kamata
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Japanese sign language recognition system using information infrastructure
The paper proposes a Japanese sign language recognition system that makes associative inferences from video information. The proposed system uses two associative memory features: association robustness and associative memory combination. A test of the actual system was made using sixteen words and the recognition system correctly distinguished all words.<>