Abstract
Sign language is the language used by the deaf. Chinese Sign Language(CSL) is primarily composed of gesture language, complemented by finger-spelling language, containing 30 finger-spelling alphabets and about 5500 basic sign words. This paper focuses on CSL recognition. According to the characteristics of sign word of gesture language for CSL, a greedy clustering algorithm along the time axis(GLATA) is proposed to segment sign word, a training algorithm based on GLATA is proposed to train the template corresponding to each word, and a recognizing algorithm based on GLATA is used to recognize 227 words randomly selected from CSL with the accuracy of 96%. In addition, sign segmentation technique based on overall movement speed of hand is proposed to delete "Movement Epenthesis" in continuous sign language. From experiment result, it is shown that GLATA is an effective algorithm for CSL recognition.
| Original language | English |
|---|---|
| Pages (from-to) | 2439-2444 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Volume | 4 |
| State | Published - 2001 |
| Event | 2001 IEEE International Conference on Systems, Man and Cybernetics - Tucson, AZ, United States Duration: 7 Oct 2001 → 10 Oct 2001 |
Keywords
- A greedy clustering algorithm along the time axis
- Chinese sign language
- Gesture language
- Sign language recognition
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