A Hierarchical DGMM Recognizer for Chinese Sign Language Recognition
Jiang Wu · 2000
Sign language is the language used by the deaf, which is a comparatively steadier expressive system composed of signs corresponding to postures and motions assisted by facial expression. And it is a language communicated by motion/vision. The objective of sign language recognition research is to “see” the language of the deaf. The integration of sign language recognition and sign language synthesis jointly comprises a “human computer sign language interpreter”, which facilitates the interaction between deaf people and their surroundings. The issue of sign language recognition is to recognize dynamic gesture signal, that is, to recognize sign language signal. Considering the speed and performance of the recognition system, Cyberglove is selected as gesture input device in sign language recognition system, DGMM (dynamic Gaussian mixture model) is used as recognition technique, and hierarchical recognizer is used in recognizing module, which can recognize 274 sign language words coming from the dictionary of Chinese sign language with an accuracy of 97.4%, based on Chinese sign language's own characteristic. Compared with the recognition system based on single DGMM recognizer, the recognition rate of hierarchical DGMM recognizer is nearly equal to that of single DGMM recognizer, but its recognition speed is apparently much faster than that of single DGMM recognizer.