AI and Statistical Theory–Driven Wearable System for Intelligent Recognition of Professional Table Tennis Skills

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Bibliographische Detailangaben
Veröffentlicht in:	Modelling and Simulation in Engineering vol. 2025, no. 1 (2025)
1. Verfasser:	Song, Yafei
Weitere Verfasser:	Zhang, Shuning, Wang, Yingzhi, Shi, Zhuoyong
Veröffentlicht:	John Wiley & Sons, Inc.
Schlagworte:	Kinematics Motion capture Deep learning Tennis Artificial neural networks Wearable technology Data processing Unmanned aerial vehicles Data acquisition systems Skills Accuracy Velocity Stroke Artificial intelligence Principal components analysis Support vector machines Recognition Sensors Wrist Table tennis Wearable computers Design Multidimensional data Data collection Athletes Inertial sensing devices Accelerometers
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