AI-Driven Performance Analytics in Sports: Enhancing Athlete Training and Injury Prevention

Abstract

AI is intensifying in sports performance analytics, with which athlete training is being replaced and revolution is being done through real-time monitoring, personal response and prevention of injuries. For example, these functions – machine learning, deep reinforcement learning, computer vision, wearable sensors, and this research - are examined in this research for what role they play in adaptation to training. Using the huge dataset and algorithm thinking found, AI enables better decisions, which leads to standard training paradigms to catch tracking and performance. Results for DQL and PPO, smart, data-powered athlete training to balance exploration and exploitation on hybrid reinforcement learning approaches. AI comparison displays its major effects on speed, endurance, agility and recovery efficiency, which can lead to infallible, efficient training, less susceptibility to low injuries and dedication at the same time.

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