Modeling and simulation of fall process dynamics based on a simplified human body model

Abstract

With the growth of age, the body function of the elderly gradually declines, and falling has become the main factor endangering the life safety of the elderly. In order to solve the problem of the lack of data support in the study of the elderly fall injury, the human body is simplified into a two-bar model articulated by two rigid bodies. Based on Kane method, the kinetic equation of the human fall process is derived and analyzed. By setting the inertia parameters and joint torque of the human body, the curve of the dynamic parameters of the human body with time is obtained. The simulation results show that the human joint Angle decreases gradually in the dynamic model, and the human body falls forward, which conforms to the law of human movement, and verifies the correctness of the dynamic model. It also plays an important role in the design of bionic machinery such as walking robots.