Sign language is the language used by the deaf, which is a comparatively s teadier expressive system composed of signs corresponding to postures and motion s assisted by facial expression. And it is a language communicated by motion/vis ion. The objective of sign language recognition research is to “see” the langu age of the deaf. The integration of sign language recognition and sign languag e synthesis jointly comprises a “human-computer sign language interpreter”, w hich facilitates the interaction between deaf people and their surrounding s. The issue of sign language recognition is to recognize dynamic gesture signal , that is, to recognize sign language signal. Considering the speed and performa nce 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 mo dule, 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 equa l to that of single-DGMM recognizer, but its recognition speed is apparently mu ch faster than that of single-DGMM recognizer.