How is artificial intelligence applied to sports science?
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Artificial intelligence (AI) is revolutionizing sports science by enhancing various aspects of the sporting industry. AI applications in sports include player recruitment, training, maintaining integrity, sports medicine, betting, and journalism . AI aids in real-time athlete training supervision through image recognition and target tracking technologies, analyzing athletes' physiological, biochemical, and injury conditions . Additionally, AI integrates virtual reality technology with human action recognition to improve training methods, achieving higher accuracy and athlete satisfaction levels . AI's role in sports training involves data analysis, simulation of training scenarios, and personalized guidance, ultimately improving on-field performance and transforming traditional practices into contemporary ones . The evolving applications of AI in sports science not only benefit athletes but also raise ethical concerns regarding privacy and societal implications .
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| Papers (5) | Insight |
|---|---|
08 May 2023 | Artificial intelligence is utilized in sports training through a combination of dynamic time warping algorithm, local image feature action recognition, and virtual technology, enhancing training effectiveness and competition outcomes. |
| Artificial intelligence is applied in sports science through a monitoring system that tracks athletes' performance, coaches' plans, physiology, nutrition, and injuries, providing real-time guidance using GPS technology. | |
| Artificial intelligence is applied in sports science through player recruitment, training, integrity maintenance, sports medicine, betting, and journalism, enhancing performance while raising ethical concerns like privacy. | |
06 Apr 2023 | Artificial intelligence in sports science supports athletes' training through data analysis and simulation, enhancing coaching methods with benefits like efficiency, transparency, and progress tracking. |
06 Apr 2023 | Artificial intelligence in sports science supports athletes' training through data analysis and simulation, enhancing coaching methods with benefits like usability, transparency, and progress tracking. |
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