A Real-Time Large Vocabulary Continuous Recognition System for Chinese Sign Language

Authors:
Chunli Wang;Wen Gao;Zhaoguo Xuan
Affiliations:
-;-;-
Venue:
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Year:
2001

Citing 7
Cited 7

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Abstract

In this paper, a real-time system designed for recognizing continuous Chinese Sign Language (CSL) sentences with a 4800 sign vocabulary is presented. The raw data are collected from two CyberGlove and a 3-D tracker. The worked data are presented as input to Hidden Markov Models (HMMs) for recognition. To improve recognition performance, some useful new ideas are proposed in design and implementation, including states tying, still frame detecting and fast search algorithm. Experiments were carried out, and for real-time continuous sign recognition, the correct rate is over 90%.