Japanese sign language recognition system using information infrastructure

Toru Yamaguchi, M. Yoshihara, Masako Akiba, M. Kuga, N. Kanazawa, Ken Kamata

2002 · 10 citations · 3 references

Concepts

Abstract

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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

References

3