Abstract
Sign language is a visual-gestural language mainly used by hearing-impaired people to communicate with each other. Gesture and facial expression are important grammar parts of sign language. In this paper, a text-based transformation method of Chinese-Chinese sign language machine translation is proposed. Gesture and facial expression models are created. And a practical system is implemented. The input of the system is Chinese text. The output of the system is “graphics person” who can gesticulate Chinese sign language accompanied by facial expression that corresponds to the Chinese text entered so as to realize automatic translation from Chinese text to Chinese sign language.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Gao Wen. Framework of multi-function perception machine. InProceedings of the Second Chinese Computer Intelligent Interface and Application Conference, 1995, pp.7–20.
Chinese Deaf-Mutes Society. Chinese Sign Language. Beijing: Hua Xia Press, 1995. (in Chinese).
Badler N I, Morris M A. Modeling flexible, articulated objects. InProceeding of the ONLINE Conference, 1982, pp.305–314.
Jeffrey Loomis, Howard Poizner, Ursula Bellugiet al. Computer graphics modeling of American sign language.Computer Graphics, 1983, 17(3): 105–114.
Masaru Ohki, Hirohiko Sagawaet al. Sign language translation system using pattern recognition and synthesis.Hitachi Review, 1995, 44(4): 251–254.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Xu, L., Gao, W. Study on translating Chinese into Chinese sign language. J. Comput. Sci. & Technol. 15, 485–490 (2000). https://doi.org/10.1007/BF02950413
Received:
Revised:
Issue Date:
DOI: https://doi.org/10.1007/BF02950413