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Titlebook: Artificial Intelligence in Sports, Movement, and Health; Carlo Dindorf,Eva Bartaguiz,Michael Fr?hlich Book 2024 The Editor(s) (if applicab

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發(fā)表于 2025-3-21 17:20:58 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Artificial Intelligence in Sports, Movement, and Health
影響因子2023Carlo Dindorf,Eva Bartaguiz,Michael Fr?hlich
視頻videohttp://file.papertrans.cn/168/167602/167602.mp4
發(fā)行地址Explore how cutting-edge AI for sports enhances training, performance analysis, and strategic decision-making.Discover how AI improves injury prevention and promotes overall health management.Uncover
圖書封面Titlebook: Artificial Intelligence in Sports, Movement, and Health;  Carlo Dindorf,Eva Bartaguiz,Michael Fr?hlich Book 2024 The Editor(s) (if applicab
影響因子.This comprehensive work explores Artificial Intelligence′s profound impact on revolutionizing how we approach sports, movement, and health. It presents a rich collection of insights, practical applications, and perspectives poised to transform these domains. Therefore, leading experts in the fields were brought together, offering diverse perspectives and applications across various disciplines. Through the examination of real-world use cases and future possibilities, this book empowers readers with knowledge, enhancing the understanding of the transformative potential of AI in sports, movement, and health..
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發(fā)表于 2025-3-21 23:12:16 | 只看該作者
Advancing Endurance Sports with Artificial Intelligence: Application-Focused Perspectives refinement. In a professional context, where personalized training has long been the norm, the value lies in AI‘s capacity to identify weaknesses, providing insights that may surpass traditional coaching methods. This new type of intelligent data analysis can support the coach and the athlete in th
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Sensors, Internet of Things and Artificial Intelligence for the Diagnosis and Prevention of Falls antisfactory, current AI-based approaches do not address the identification of dedicated fall risk factors in a way that would allow a precise response through specific exercise intervention. Future research should focus on interpretable AI-based concepts that provide a deeper insight into the individ
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Artificial Intelligence for Sport Injury Predictiones the unique advantages offered by AI-based analyses, and discusses challenges when attempting to utilise AI for injury prediction. Overall, the use of AI for sport injury prediction offers a fascinating opportunity. It may one day create a revolution in the field, improving not only prediction its
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Generative Artificial Intelligence in Anti-doping Analysis in Sportssuccessfully generate synthetic samples that closely resembled real samples, indicating its potential for augmenting datasets used in doping detection. This approach not only enhances the robustness of indirect methods of doping detection by providing a larger dataset for analysis but also addresses
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Transferring Lessons Learned from Uncertainty-Aware Visual Analytics in Clinical Data to Predictive sociated with ML predictions in sports. Drawing upon the knowledge acquired from uncertainty-aware visualization in clinical data, we can lay the groundwork for more resilient and informed applications of ML in the sporting domain.
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