Application of the Artificial Intelligence Sensor Principle in Athlete Training Status Testing System

Abstract

In modern sports, the use of technology to accurately analyze the physical state of an athlete's training is an important means to promote the improvement of athletic performance. Artificial intelligence mainly refers to the use of computer science and technology to imitate the ability of human intelligent behavior, such as language translation, voice recognition, and an interaction with the physical world through visual analysis and decision-making. With the continuous development of modern information technology, the integration of artificial intelligence and the sports industry will be an inevitable development trend. Therefore, the article takes the principle of artificial intelligence sensor as the basic basis and discusses the value of its use in the physical condition testing of athletes' training in order to improve the quality of athletes' training and thus promote their competition performance. Artificial intelligence technology can provide precise physical data to coaches and athletes, such as heart rate, muscle fatigue, and metabolic level. These data can help coaches better plan training programs, making training more scientific and personalized. At the same time, athletes can adjust their training methods based on the data, in order to maximize their potential.

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