Study Of Sign Language Synthesis Technology Based Upon Virtual Human Driven By Uighur Language Text

Sign language is a special language used by deaf people, the main communication tool for the deaf. In intercourse of the deaf or some special occasions like secrecy circumstances it is widely used. Sign language recognition and synthesis has become an important part of intelligent human-machine interface. Sign language synthesis is technology which can automatically translate natural language text sentence into sign language the deaf in the form of the computer-generated virtual human realistic display.The main purpose of sign language synthesis is to use the language of the deaf community to express the mainstream information dissemination, to enable barrier-free communication. Sign language synthesis system for the deaf community access to information not only provides a platform for deaf community but can also be applied in teaching of sign language and various service departments to improve learning efficiency and make their staff to learn sign language with ease.In Xinjiang, Uighur is the most important minority languages, synthesis system of sign language driven by the Uighur language is particularly important. An approach of Uyghur sign language synthesis based on key-frames is proposed. Firstly, based on 3-D virtual human body modeling, it enables movement of human arm using affine transformation and control principle. Secondly, it gets sign language parameters and then establishes gesture library. Finally, using key-frames, executes linear interpolation of process of gestures changes to achieve continuous animation of Uyghur sign language synthesis. The experiments and conclusions show that the method has a better efficiency and animation display.