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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 2025-3-25 03:40:14 | 只看該作者
22#
發(fā)表于 2025-3-25 10:53:31 | 只看該作者
23#
發(fā)表于 2025-3-25 13:16:16 | 只看該作者
Artificial Intelligence for Sport Injury Prediction seen as equal parts “art” and science. Despite the best efforts of individuals, teams, and national bodies to apply scientifically-derived injury prevention strategies, millions of athletes still get injured in sport every year. Evidently, sport injury prediction is a field, which has scope for imp
24#
發(fā)表于 2025-3-25 18:39:11 | 只看該作者
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發(fā)表于 2025-3-25 21:28:00 | 只看該作者
A Brief Review of Artificial Intelligence for Sport Informatics in the Scope of Human–Computer Intertal role of Human–Computer Interaction (HCI). Highlighting the surge in AI integration within sports, movement analysis, and health management, we want to underscore its transformative impact on performance analysis, injury prevention, and personalized healthcare interventions. By elucidating the pr
26#
發(fā)表于 2025-3-26 03:20:10 | 只看該作者
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發(fā)表于 2025-3-26 07:08:27 | 只看該作者
Machine Learning in Biomechanics: Enhancing Human Movement Analysisthis context, high-dimensional datasets are typically collected using either laboratory-based biomechanical measurement systems or wearable sensors. In recent years, Machine Learning (ML) has become increasingly popular for exploiting the potential of high-dimensional biomechanical data. There are t
28#
發(fā)表于 2025-3-26 10:19:36 | 只看該作者
Artificial Intelligence-Based Motion Capture: Current Technologies, Applications and Challenges-based approaches, markerless motion capture enables precise tracking and analysis of movements without the need for markers placed on the body. This offers a range of advantages, including improved user-friendliness, greater freedom of movement, and broader applicability in various environments, bo
29#
發(fā)表于 2025-3-26 16:41:18 | 只看該作者
Machine Learning in Tennissuch as Hawk-Eye, has advanced research in this field. A review of scientific articles shows the recent evolution of Machine Learning (ML) techniques and their potential impact on tennis. Finally, a practical example of a predictive model is presented to demonstrate the process and results of this s
30#
發(fā)表于 2025-3-26 16:50:26 | 只看該作者
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