Augmented reality mobile real-time assistance system for sports training

An augmented reality-based mobile real-time assistance system is developed to enhance the effectiveness and interactivity of sports training.The proposed system integrates motion capture, image recognition, and mobile computing technologies to provide athletes with immediate feedback and visual guidance during exercise.Using a smartphone's camera and built-in sensors, the system tracks body movements, analyses posture accuracy, and overlays virtual training cues on the real-world scene.A real-time data processing module based on lightweight computer vision algorithms ensures low latency and high stability in dynamic environments.Experimental results demonstrate that the proposed system improves training efficiency, reduces technical errors, and enhances user engagement compared with traditional video-based training.This research provides a practical reference for the application of augmented reality and intelligent interaction technologies in the sports training domain.