A sign language recognition system using hidden markov model and context sensitive search-Reference-Cited by-同舟云学术

A sign language recognition system using hidden markov model and context sensitive search

Published:1996 Issue: Volume: Page:
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Container-title:Proceedings of the ACM Symposium on Virtual Reality Software and Technology - VRST '96
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Author:

Liang Rung-Huei¹,Ouhyoung Ming¹

Affiliation:

1. National Taiwan University, Taipei, R.O.C.

Publisher

ACM Press

Reference11 articles.

1. Beale, R. and Edwards, A. Recognising Postures and Gestures Using Neural Networks.Neural Networks and Pattern Recognition in Human Computer Interaction, E. Holland, 1992.

2. Fels, S. and Hinton, G.E. Building Adaptive Interfaces with Neural Networks: The Glove-talk Pilot Study, pp. 683--688,Human-Computer Interaction-INTERACT 90, Elservier Science Publisher B.V., North-Holland, 1990.

3. Lee, L.S. et al. Golden Mandarin (III)- A User Adaptive Prosodic-segment-based Mandarin Dictation Machine for Chinese Language with Very Large Vocabulary, ICASSP, 1995.

4. Liang, RH. and Ouhyoung, M. A Real-time Continuous Alphabetic Sign Language to Speech Conversion VR System,Computer Graphics Forum, pp. C67--C77, Vol. 14, No. 3, 1995. (also in EUROGRAPHICS`95, Holland).http://www.cmlab.csie.ntu.edu.tw/~fl506028.

5. Rabiner, L. and Juang, BH.Fundamentals of Speech Recognition, pp. 321--389, pp. 434--481, Prentice-Hall International, Inc., 1993.

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