Research on the influence of health fitness and mental health analyzed by image processing technology

Sports offer numerous benefits for physical and mental health, and current research focuses on a comprehensive evaluation of an athlete's well-being to enhance performance. Thermal imaging techniques are employed to observe athletes' activities in both psychological and physiological aspects. During competitive pursuits and exercise, thermal imaging records the athlete's temperature fluctuations. These temperature data, combined with other biometric information like heart rate, provide a more in-depth understanding of the athlete's state. To establish a connection with biomechanical performance, we consider muscle activation patterns and motion dynamics. Muscle activation during intense competition leads to increased metabolic heat, which is detectable via thermal imaging. For example, highly activated muscle groups may exhibit distinct temperature elevations. Motion dynamics, such as the speed and range of limb movements, also impact heat dissipation and distribution. Faster movements may cause more rapid heat convection, altering the thermal patterns captured. The collected thermal images undergo processing to reduce noise and enhance contrast. Specific regions are identified to extract relevant features, which are then analyzed for temperature patterns. Abnormal temperature distributions are detected using Gradient Optimized Recurrent Neural Networks (GO-RNN) to assess the athlete's physical and mental health. This analysis not only predicts potential injuries but also links thermal data with biomechanical performance. By correlating thermal imaging results with muscle activation and motion dynamics, we can develop more accurate performance evaluation models. This integration allows for a more precise understanding of an athlete's condition, enabling personalized training programs and better injury prevention strategies, ultimately leading to improved athletic performance and well-being.