Abstract
AI-empowered athletics physical training can provide in-depth insight into the unique physical characteristics and training needs of each athlete based on massive data and accurate algorithms, and more accurately determine key parameters such as training intensity, duration, and frequency, so as to make the training more suitable for the actual situation of athletes, reduce the risk of injury and illness caused by improper training, maximize the physical potential of athletes, and achieve a significant improvement in training effect. At the same time, during the training process, the real-time monitoring and feedback mechanism of AI can allow coaches and athletes to understand the physical state and the performance of technical movements in a timely manner. If a problem is identified or deviates from the training goal, adjustments can be made quickly to ensure that the training is always on the scientific track. This ability to dynamically adjust makes the training process more flexible and efficient, and can better adapt to the individual differences of the athlete and the various factors in the training. This paper first analyzes the key application of AI in precision training of athletics from two aspects: the formulation of data-driven personalized training programs and real-time adjustment and optimization of training plans, and then expounds the intelligent monitoring of AI-enabled athletics physical training process from the aspects of physiological index monitoring and technical action monitoring and correction, and finally discusses the accurate evaluation of the effect of AI-enabled athletics physical training, aiming to provide theoretical basis and practical reference for the scientific and precise development of athletics physical training.
Description
This paper discusses AI's role in enhancing athletic training through personalized programs and real-time monitoring.