American Sign Language word recognition with a sensory glove using artificial neural networks-Reference-Cited by-同舟云学术

American Sign Language word recognition with a sensory glove using artificial neural networks

Published:2011-10 Issue:7 Volume:24 Page:1204-1213
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Oz Cemil,Leu Ming C.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference30 articles.

1. Abulafya, N., 1995. Neural Networks for System Identification and Control, Ms. Thesis, University of London.

2. Allen, M.J., Asselin, P.K., Foulds, R., 2003. American Sign Language finger spelling recognition system. In: Proceedings of the 29th Bioengineering Conference Proceeding, IEEE, pp. 22–23.

3. Lexical Borrowing in American Sign Language;Battison,1978

4. Image processing system for interpreting motion in American Sign Language;Charayaphan;J. Biomed. Eng.,1992

5. Grobel, K., Assan, M., 1996. Isolated sign language recognition using hidden Markov Models. In: Proceedings of the International Conference on System, Man and Cybernetics, pp. 162–167.

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