The development of a machine learning/augmented reality immersive training system for performance monitoring in athletes

Abstract

As technology advances in computer graphics, augmented reality has become an increasingly popular tool for entertainment and learning purposes, especially in the sports sector. Examples can be found in different sports such as rugby, baseball, and soccer, among others. This paper proposes an AR-based training system that can be used as a self-learning tool to improve athletes' decision-making process. The system will contain a feedback module that will offer users challenges and, based on user performance, it will be possible to track and assess athletes' progress. The user will learn about their limits during the challenges while practicing different activities. As the user becomes physically fatigued, a score will be shown for performance improvement. Therefore, this work aims to develop a performance attenuation monitoring system for athletes, consequently, contributing to mental and physical improvement of athletes' performance related to the sport practiced.