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Document Type

Abstract

Publication Date

1-14-2026

Abstract

Traditional sports training is constrained by limited environmental controllability, delayed feedback, and insufficient motion quantification. VR/AR technologies offer immersive interactions and multimodal feedback systems, enabling high-fidelity scenarios, real-time motion capture, and precise quantitative analysis for motor skill development. This study systematically examines technological innovations in motion capture and multimodal feedback within VR/AR frameworks and evaluates their efficacy. The research integrate motion capture technologies (e.g., Kinect V2 skeletal tracking with deep learning algorithms) and multimodal feedback systems into a three-stage framework: 1) A hybrid inertial-visual motion capture system achieving joint angle modeling with an error margin < 1.5°; 2) Multimodal feedback design incorporating visual overlays (motion trajectory projection), tactile vibrations (HaptX glove force feedback), and spatial audio cues; 3) Real-time biomechanical analysis modules assessing cognitive-motor coordination via synchronized eye-tracking and electromyography. Experimental trials involved soccer/tennis athletes and rehabilitation patients in comparative training studies. 1) VR-trained soccer athletes exhibited 23% faster tactical decision-making and 18% higher action anticipation accuracy than the control group; 2) Tactile-visual multimodal feedback improved tennis serve standardization by 31%, outperforming single-modality interventions; 3) AR-integrated gait rehabilitation increased patients' POMA balance scores by 42%, with 92% training adherence. However, neck fatigue caused by device weight reduced long-term compliance for 15% of users. VR/AR technologies enable quantifiable, personalized, and context-adaptive sports training through high-precision motion capture and multimodal feedback. Their core value lies in transcending physical space limitations and accelerating neuro-muscular memory formation. Future research should prioritize lightweight device design and 5G-edge computing-enabled distributed training systems. While multimodal synergy is validated, feedback modality prioritization requires task-specific optimization—e.g., spatial auditory cues for team sports versus tactile precision enhancement for fine motor tasks.

DOI

https://doi.org/10.18122/ijpah.5.1.74.boisestate

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