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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Intelligent interaction application of real-time image processing and augmented reality technology in sports training

Chao Wang
IET conference proceedings.
E-commerce and Technology Innovations
article

Intelligent interaction application of real-time image processing and augmented reality technology in sports training

Chao Wang
article en

Abstract

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.

IET conference proceedings.Vol. 2025(25)
Dalian University of Technology (CN), Dalian University (CN)
Openalex Percentile: Top 43%
E-commerce and Technology Innovations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.