The Practical Application of Embedded AI in the Field of Sports

This paper mainly studies the application of embedded Artificial Intelligence (AI) in the category of sports. Embedded AI is playing an increasingly important role in the field of sports. Then this paper introduces the specific application scenarios of embedded AI in the field of sports. The application of embedded AI in motion scenarios is classified by application purpose, including body condition assessment, sports analytics and visualization system. In the introduction of each application, this study starts from its necessity and then analyzing the technology it uses. The research covered a wide range of different groups. These include professional athletes, amateur athletes, referees in competitions, etc. As an application, each of these technologies considers its feasibility in reality. Some of these technologies are already mature, such as the wearable devices mentioned in this article. This technology has been widely used in people's lives. Others are in the experimental and research phase to be put into use in the future. Then this paper explains the comprehensive application of TinyML in the category of sports, such as sports real-time commentary. In the following paragraphs, this paper discusses the current challenges from interpretability, applicability and convenience. In view of the above three challenges, this paper gives the possible direction of solving the problem in the future. Overall, this paper summarizes the uusage of embedded AI in the sports world, with its usage in some specific scenes as the main body.