Thermal energy consumption simulation and optical imaging technology in sports training body state simulation: Thermal energy consumption during exercise

Abstract

In modern sports training, the athlete’s heat energy consumption in training and competition is directly related to the athlete’s physical management and competitive state. Traditional methods of evaluating thermal energy consumption often rely on subjective self-report or indirect measurement of physiological indicators, which have certain limitations. In this study, by collecting physiological data of athletes under different exercise intensities and combining kinematic parameters, the heat energy consumption model was built. The motion images of athletes are captured by high resolution camera and infrared thermal imager, and the distribution and change of athletes’ body temperature are analyzed by image processing technology, so as to evaluate the heat energy consumption. Heat consumption simulation data and optical imaging data are fused to improve the accuracy and reliability of heat consumption evaluation. In the laboratory environment, different sports and athletes at different levels were tested, heat consumption simulation and optical imaging data were collected, and compared with traditional evaluation methods. Through a series of experiments and data analysis, this study successfully constructed a system that can accurately simulate the heat energy consumption of athletes during exercise. The experimental results show that the system has high accuracy and reliability in evaluating athletes’ energy consumption. The optical imaging technology can clearly show the change of the athletes’ body temperature distribution, and the heat energy consumption simulation technology can provide detailed heat energy consumption data. The application of data fusion technology further improves the accuracy of the evaluation results.