SIGN LANGUAGE RECOGNITION BASED ON HMM/ANN/DP
| Autor: | Jiangqin Wu, Jiyong Ma, Chunli Wang, Wen Gao |
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| Rok vydání: | 2000 |
| Předmět: |
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Vocabulary Artificial neural network business.industry Computer science Speech recognition media_common.quotation_subject Sign language Chinese Sign Language language.human_language Artificial Intelligence Search algorithm language Computer Vision and Pattern Recognition Artificial intelligence business Hidden Markov model Software Gesture media_common |
| Zdroj: | International Journal of Pattern Recognition and Artificial Intelligence. 14:587-602 |
| ISSN: | 1793-6381 0218-0014 |
| Popis: | In this paper, a system designed for helping the deaf to communicate with others is presented. Some useful new ideas are proposed in design and implementation. An algorithm based on geometrical analysis for the purpose of extracting invariant feature to signer position is presented. An ANN–DP combined approach is employed for segmenting subwords automatically from the data stream of sign signals. To tackle the epenthesis movement problem, a DP-based method has been used to obtain the context-dependent models. Some techniques for system implementation are also given, including fast matching, frame prediction and search algorithms. The implemented system is able to recognize continuous large vocabulary Chinese Sign Language. Experiments show that proposed techniques in this paper are efficient on either recognition speed or recognition performance. |
| Databáze: | OpenAIRE |
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