Japanese sign language recognition system using information infrastructure

Author

Yamaguchi, Toru ; Yoshihara, Michihiro ; Akiba, Makoto ; Kuga, Masako ; Kanazawa, Naoyuki ; Kamata, Kazuo

Author_Institution

Dept. of Inf. Sci., Utsunomiya Univ., Japan

Volume

5

fYear

1995

fDate

20-24 Mar 1995

Firstpage

65

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

Keywords

associative processing; feature extraction; fuzzy set theory; image recognition; inference mechanisms; linguistics; natural language interfaces; natural languages; Japanese sign language recognition system; association robustness; associative inferences; associative memory combination; associative memory feature; information infrastructure; recognition system; video information; Associative memory; Charge coupled devices; Color; Data mining; Feature extraction; Fuzzy sets; Fuzzy systems; Handicapped aids; Humans; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int

Conference_Location

Yokohama

Print_ISBN

0-7803-2461-7

Type

conf

DOI

10.1109/FUZZY.1995.410043

Filename

410043