AI-controlled training method for performance hardening or injury recovery in sports
2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics (SAMI)(2024)
摘要
In the contemporary sports science domain, artificial intelligence (AI) has emerged as a pivotal tool, driving breakthroughs in athlete training and rehabilitation. Personalized training schedules, sculpted through AI algorithms, promise optimized performance and reduced injury likelihood. Wearable technologies, combined with AI-boosted functionalities, offer invaluable real-time physiological data, facilitating immediate training modifications or/and adjustments. The utilization of AI in biomechanical feedback has been groundbreaking, particularly in technique enhancement through meticulous gait analysis. The cognitive training tools are honing athletes’ decision-making and reflexes, attributes crucial in competitive scenarios. The psychological well-being of athletes is also catered to, with AI discerning early indicators of emotional strain. Furthermore, post-competition reviews have been enriched with AI-enabled video analytics, delivering nuanced insights for strategic refinements. The goal of this study was to provide an AI-assisted solution to identify problems in recovery exercises or to boost the athletes’ performance.
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关键词
Recovery control,anomaly detection,ML,DL,CNN,sport performance monitoring,sports safety
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