A Classification Method for Chinese Sign Language Recognition

ZHANG Yaxin; YUAN Kui; DU Qingxiu; ZOU Wei

doi:10.13374/j.issn1001-053x.2001.03.051

Volume 23 Issue 3

Aug. 2021

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Article Navigation > Chinese Journal of Engineering > 2001 > 23(3): 284-286

ZHANG Yaxin, YUAN Kui, DU Qingxiu, ZOU Wei. A Classification Method for Chinese Sign Language Recognition[J]. Chinese Journal of Engineering, 2001, 23(3): 284-286. doi: 10.13374/j.issn1001-053x.2001.03.051

Citation:

ZHANG Yaxin, YUAN Kui, DU Qingxiu, ZOU Wei. A Classification Method for Chinese Sign Language Recognition[J]. Chinese Journal of Engineering, 2001, 23(3): 284-286. doi: 10.13374/j.issn1001-053x.2001.03.051

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A Classification Method for Chinese Sign Language Recognition

doi: 10.13374/j.issn1001-053x.2001.03.051

1. Graduated school. Chinese University of Sciences and Technology, Beijing 100038, China;
2. Institute of Automation, Chinese Academy of Sciences, Beijing 100080, China

Received Date: 2001-12-12

Abstract

Abstract

The aim of sign language recognition research is to let the computer to understand what a deaf 'said' using the sign language so that the computer can output the recognition results in the form of text and/or speaking language and help us to communicate with the deaf. The characteristics of Chinese Sign Language (CSL) are analyzed in the view of sign language recognition. The analysis and comparison of the two existing sign language recognition methods, the machine-vision-based method and the body-instrumentation-based method, are also done and a new clarification method for the CSL is also proposed.
- chinese sign language,
- sign language recognition,
- computer-vision,
- body-instrumentation