| With the development of sports scientific research, the computer simulation and modeling of human body for diagnosing athletes' technique has been an irreversible trend. It has great value in theory and practice to simulate the human body motion of athletes with the knowledge of sports biomechanics. Much interesting and elaborate research had been done by scholars in many fields at home or overseas. Newton motion law is cited as the foundation of the traditional solution of human body modeling. By simplifying the configuration of human body, listing the motion equations, setting the initializing condition etc, the simulating results can be approximately obtained. Computing error can't be avoided more or less using the above method, where simplified modeling is adopted, and difficulties also exist in the modifying the modeling. The new viewpoint of human body motion analyzing and modeling based on the fusion of multi-information is proposed in the paper by systematically investigating the means of current human body modeling and simulating. Beginning with the movement information acquisition and analysis, many mathematics tools are utilized to extract the features of movement information such as the information of ground reaction force, surface electromyographic (sEMG) signals and motion image resolution. Taking weight lifting as the example, the automatic decomposition and recognition of the movement pattern is implemented via multi-information fusion. The model of weight lifting is constructed with the help of reverse kinetics. In the end, the new method of multi-information fusion estimation of joint torque is attempted to improve the precision of human body modeling and simulation and provide a basis for the coaching system by analyzing the existing problems in the current methods for joint torque estimation in human body modeling. The main contents are generalized as follows:The new viewpoint of human body motion analyzing and modeling based...
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