Research on Strength Growth Model System of Weightlifters Based on Computer Machine Learning

In weightlifting events, referees have complex working environment, long communication distance and high reliability requirements, so this project intends to use TI's MSP430F5299 as its core processing chip. The system uses RS485 for long-distance communication. This system realizes a variety of judgments, arbitration supervision, system function setting, LED large screen display, PC data real-time transmission and other functions. This project intends to abstract the human body into 6 rigid bodies and construct Kane's multi-body dynamics modeling formula. The starting Angle and Angle velocity in the video captured by the digital camera are used as the starting parameters to simulate the whole process of lifting, and the accuracy of the mathematical model is analyzed and simulated by comparing with the measured data. It is found that the human body lift obtained by the multi-body dynamics modeling and simulation based on the multi-body system is consistent with the real scene, and there is a deviation of about 4-8% between them. As the distance from the starting point increases, there is a large deviation between the numerical value and the simulated value, and there is a cumulative error.