Art

J-GLOBAL ID：200902104522178693   Reference number：95A0178431

A Segmentation Method for Sign Language Recognition.

手話認識に対するセグメンテーション法

Author (4)： OHIRA E (Hitachi, Ltd., Kokubunji-shi, JPN) ,  SAGAWA H (Hitachi, Ltd., Kokubunji-shi, JPN) ,  OHKI M (Hitachi, Ltd., Kokubunji-shi, JPN) ,  SAKIYAMA T (Hitachi, Ltd., Kokubunji-shi, JPN)
Material： IEICE Transactions on Information and Systems (Institute of Electronics, Information and Communication Engineers)  (IEICE Trans Inf Syst (Inst Electron Inf Commun Eng))
Volume： E78-D  Issue： 1  Page： 49-57  Publication year： Jan. 1995 
JST Material Number： L1371A  ISSN： 0916-8532  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： sign language ,...

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JST classification (1)： Pattern recognition  (JE07000S)

Reference (18)：

• TAMURA, S. Recognition system for sign language motion image. IPSJ Technical Rept. on Comput. Vision. 1986, 44-1, 1-8
• KAMATA, K. An approach to Japanese-sign language translation system. IEEE international conference on SYSTEMS, MAN, AND CYBERNETICS. 1989, 1089-1090
• FELS, S. S. Building Adaptive Interface with Neural Networks: the Glove-Talk Pilot Study. Technical Report CRG-TR-90-1, University of Toronto. 1990
• TAKAHASHI, Y. Hand gesture coding based on experiments using hand gesture interface device. SIGCHI Bull. 1991, 23, 2, 67-74
• MURAKAMI, K. Gesture recognition using recurrent neural networks. CHI'91 Proc. 1991, 237-242

Terms in the title (2)： 手話認識 ,  セグメンテーション