Real-Time American Sign Language Recognition from Video Using Hidden Markov Models-Reference-Cited by-同舟云学术

Real-Time American Sign Language Recognition from Video Using Hidden Markov Models

Published:1997 Issue: Volume: Page:227-243
ISSN:1381-6446
Container-title:Computational Imaging and Vision
language:
Short-container-title:

Author:

Starner Thad,Pentland Alex

Publisher

Springer Netherlands

Link

http://link.springer.com/content/pdf/10.1007/978-94-015-8935-2_10.pdf

Reference23 articles.

1. Baum L. (1972) An Inequality and Associated Maximization Technique in Statistical Estimation of Probabilistic Functions of Markov Processes, Inequalities, Vol. 3, pp. 1–8.

2. Charayaphan C. and Marble A. (1992) Image Processing System for Interpreting Motion in American Sign Language, Journal of Biomedical Engineering, Vol. 14, pp. 419–425.

3. Cui Y. and Weng J. (1995) Learning-based Hand Sign Recognition, Intl. Work. Auto. Face Gest. Recog. (IWAFGR) ‘85, pp. 201–206.

4. Darrell T. and Pentland A. (1993) Space-time Gestures, CVPR ‘83, pp. 335–340.

5. Dorner B. (1993) Hand Shape Identification and Tracking for Sign Language Interpretation, IJCAI ‘83 Workshop on Looking at People.

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