A review of artificial intelligence for sports: Technologies and applications
Wenxi Li, Moran Liu, Jiaxin Liu, Baosheng Zhang, Tao Yu, Yuchen Guo, Qionghai Dai
Abstract
Artificial intelligence (AI) has demonstrated remarkable power in transforming various industries. It is clear that AI has shown promising results in enhancing athletic performance, competition management, and viewer experience for sports. In this survey, we briefly discuss how cutting-edge AI technologies can provide new opportunities for sport applications, including how to perceive large-scale sport scenes, how to digitally reconstruct scenes, how to recognize targets in scenes, and how to analyse time series data for practical use. We will introduce how AI has empowered sports and what new technologies in hardware, computer vision, deep learning, and large language models can further trigger new applications for sports. Through this analysis, we identify promising directions for future research and development, suggesting ways to bridge the gap between cutting-edge AI capabilities and sports applications. Our review provides valuable insights for researchers and practitioners working at the intersection of AI and sports, offering a roadmap for future innovations in this rapidly evolving field.