Intelligent interaction application of real-time image processing and augmented reality technology in sports training
With the development of intelligent technology, sports training is gradually transformed to the direction of digitalization and intelligence. The traditional training mode has problems such as feedback lag, poor interactivity, and is difficult to meet the personalized and real-time demand. This paper discusses the intelligent interactive application of real-time image processing and augmented reality (AR) technology in sports training. Through real-time image processing technology, it can accurately capture the movements of athletes and analyze their postures, provide real-time feedback on sports performance, help athletes correct their movements in a timely manner, and improve the training effect. Combined with AR technology to build an immersive training environment, providing virtual training partners, action demonstrations and real-time guidance to enhance the interactivity and fun of training. This paper also proposes a personalized training program based on AI algorithm, which realizes the optimization and precise adjustment of the training program through intelligent evaluation and dynamic adjustment mechanism. Through experimental case analysis, the practical application effect of the system in multiple sports programs is verified, proving that the combination of image processing and AR technology is of great significance in enhancing the efficiency and effect of sports training. The article looks forward to the future prospects of the technology's wide application in the fields of intelligent coaching and virtual athletics.
Authors
- Chao Wang (ORCID: https://orcid.org/0000-0002-3243-3244)
Institutions
- Dalian University of Technology (CN)
- Dalian University (CN)
Publication Details
- Journal
- IET conference proceedings.
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1049/icp.2025.3135
- Primary Topic
- E-commerce and Technology Innovations
- Type
- article
- Field-Weighted Citation Impact
- 0.00