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In order to improve the ability of quantitative analysis of human limb force, according to the physical training guidance of limb transceiver force control research, a physical force control model based on machine vision is proposed. The force model of limbs in the course of human body training is constructed by using the 7-link model. The dynamic mechanics and static mechanics analysis method are combined to model the mechanical model of the limb force, and the force and force parameters of the limb are analyzed. The adaptive optimization of mechanical parameters of limbs is carried out by using the method of small disturbance suppression, and the optimal estimation and identification of mechanical parameters are realized. According to the estimation results of limb force parameters, the driving torque of the left and right leg joints of human lower extremity under various motion modes is solved, and the fuzzy control method is used to design the limb force control model. Sports training is guided by the estimation results of physical exertion parameters. The simulation results show that the model is accurate to estimate the body force parameters and the control quality of the limb force is higher. It has a great guiding effect on improving the effect of sports training.

Physical Training Limb Exertion Control Model under Machine Vision and Application in Physical Education