<p>This study aims to explore the combination of thermal infrared images obtained by wearable devices with optical imaging motion capture technology and apply it to the visualization simulation of sports training, in order to improve the training effect and teaching quality. In view of the limitations of traditional sports training monitoring methods, this study proposes a method combining thermal infrared images based on wearable devices with optical imaging motion capture. This method first uses wearable devices to obtain thermal infrared images and optical imaging motion capture data of athletes during their movement. Then, it adopts the super multi-object evolutionary algorithm to optimize and reconstruct the captured motion data, and employs speech recognition enhancement technology to improve the interactivity of the system. Finally, the processed data is integrated into the visual simulation platform to achieve the synchronous display of the thermodynamic characteristics and motion trajectories of the athletes’ movements. The experimental results show that this system can effectively realize the visual management of physical education teaching and provide countermeasures for the development of visual management in physical education classroom teaching. Through the experiments of the wearable device system based on optical imaging motion capture and the visual management analysis of physical education teaching, the results show that this method can accurately capture the movement details of athletes and clearly present their thermal distribution, providing more intuitive and comprehensive training feedback for coaches and athletes.</p>