Real time monitoring of motion posture using a motion accelerometer based on sensors and cellular thermodynamic analysis

With the development of sports science, the monitoring technique of athletes' physical condition is more and more demanding. Traditional monitoring methods, such as video analysis and simple accelerometer, can not meet the needs of modern sports training. In this study, a new type of motion accelerometer is designed and implemented, which can monitor and analyze the movement posture of athletes in real time. By integrating cellular thermodynamic analysis, the system not only provides traditional motion parameters such as acceleration and angular velocity, but also analyzes changes in energy metabolism at the cellular level, thus providing coaches and athletes with more comprehensive feedback on athletic performance. The motion data of athletes are collected by high precision accelerometers and gyroscopes. Then, the energy metabolism characteristics of cells in different motion states were analyzed using the principle of cell thermodynamics. Through machine learning algorithms, sensor data is combined with the results of cellular thermodynamic analysis to build a model capable of real-time monitoring of moving posture. The study also developed a user-friendly interface that enables coaches and athletes to intuitively understand the monitoring data. Through a series of experiments, the motion accelerometer developed in this study shows good performance. In the process of real-time monitoring of athletes, the system can accurately capture changes in motion posture and provide detailed information about energy metabolism through cellular thermodynamic analysis. The experimental results show that the system has significant advantages in recognizing the fatigue state of athletes, preventing sports injuries and optimizing training plans.