Thermal radiation image diagnosis and heart rate sensor application in sports fatigue index detection: Thermal energy consumption control

Abstract

Thermal radiation images can capture the temperature distribution on the surface of the human body, which reflects the heat consumption and metabolic changes inside the body. In this study, a group of athletes were selected as research objects. Before and after different intensity exercise training, high-precision thermal imaging cameras were used to collect their thermal radiation images, and heart rate sensors were used to record heart rate data simultaneously. The image processing technology is used to analyze the thermal radiation image and extract the key temperature parameters, such as local temperature change and temperature distribution pattern. Statistical analysis of heart rate data was performed, including heart rate variability analysis and heart rate recovery time assessment. Combining thermal radiation images and heart rate data, a comprehensive evaluation model was established to quantify the fatigue state of athletes. Finally, according to the fatigue evaluation results, a personalized thermal energy consumption control strategy is proposed. The experimental results show that there is a significant correlation between the temperature distribution pattern in the thermal radiation image and the heart rate data. After intense training, the surface temperature of specific muscle groups of athletes increased significantly, while the heart rate data also showed higher levels. By combining thermal radiation images and heart rate data, the study found that the athlete’s fatigue state could be quantified by an increase in thermal energy consumption. The study also found that by adjusting the training intensity and increasing the recovery time, the heat energy consumption can be effectively controlled, thereby reducing the fatigue degree of athletes.