Infrared thermal energy image simulation based on human-computer interaction for accuracy detection in basketball sports: Thermal modeling of human tissue

Traditional basketball performance detection methods mainly rely on the subjective evaluation of coaches and simple statistical data analysis, and lack a deep understanding of the physiological state of athletes and the change of heat energy during sports. With the development of science and technology, an infrared thermal image simulation system based on human-computer interaction was researched and developed. High-resolution infrared thermal imager was used to collect thermal images of basketball players in different training and competition scenarios, and a user interface was developed to enable coaches and researchers to operate the infrared thermal image simulation system conveniently. Image processing technology is used to preprocess the acquired infrared thermal image, including noise removal and contrast enhancement. Based on the principles of human anatomy and thermodynamics, a thermal model of human tissue was constructed to simulate the heat distribution of athletes during exercise. By combining the thermal energy image with the thermal model of human tissue, the dynamic simulation image of the thermal energy distribution of athletes is generated by threedimensional reconstruction technology, and the key parameters are extracted from the simulation image to evaluate the accuracy of the athletes' technical movements. The experimental results show that the system can accurately capture the thermal energy changes of the players in key movements such as shooting, dribbling and defense. Compared with traditional detection methods, this system shows higher accuracy and reliability in evaluating the accuracy of athletes.