ArticleScientific reports2025
An intelligent taekwondo coaching system based on augmented reality technology with real-time feedback mechanisms.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Perceived usability and psychological responses to augmented reality feedback in beginner golf: a mixed-methods pilot study.Frontiers in sports and active living · 2026Article
- Digital twin for Taekwondo athletes: integrating sports nutrition and psychological readiness using artificial intelligence.Frontiers in public health · 2026Review
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Authors and funding
2 authors.
Funding
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Abstract
Traditional taekwondo training methods face limitations in providing objective, real-time feedback for technique improvement, relying primarily on subjective instructor observations that may lack precision and consistency. This research presents an innovative intelligent taekwondo coaching framework that integrates augmented reality technology with advanced motion analysis algorithms to deliver comprehensive, real-time training feedback. The system employs a modular architecture incorporating multi-modal sensor data acquisition, deep learning-based pose estimation, biomechanical analysis, and immersive AR visualization to create an interactive training environment. The motion recognition module utilizes convolutional neural networks specifically adapted for taekwondo techniques, achieving recognition accuracies exceeding 95% across nine fundamental technique categories with processing latencies below 25 milliseconds. The comprehensive evaluation framework assesses movement quality across eight dimensions including geometric accuracy, temporal coordination, and force generation, providing personalized feedback through AR overlays. Experimental validation with 47 practitioners across novice, intermediate, and advanced skill levels demonstrates significant improvements in learning efficiency and technique standardization compared to conventional training methods. User experience evaluation reveals high satisfaction ratings (average 8.5/10) across interface usability, feedback clarity, and learning effectiveness. The system successfully addresses critical gaps in martial arts instruction by democratizing access to high-quality technical guidance while maintaining the engagement and motivation essential for skill development. This research establishes important foundations for next-generation sports training technologies and provides valuable insights for developing similar intelligent coaching systems across diverse athletic disciplines.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.