Vision-based movement recognition reveals badminton player footwork using deep learning and binocular positioning

Vision-based movement recognition reveals badminton player footwork using deep learning and binocular positioning

Coordinating dynamic interceptive actions in sports like badminton requires skilled performance in getting the racket into the right place at the right time. For this reason, the strategic movement and placement of one's feet, or footwork, is an important part of competitive performance. Develo...

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Bibliografiske detaljer
Main Authors:	Jiabei Luo, Yujie Hu, Keith Davids, Di Zhang, Cade Gouin, Xiang Li, Xianrui Xu
Format:	Article
Sprog:	English
Udgivet:	Elsevier 2022-08-01
Serier:	Heliyon
Fag:	Coordination Badminton player trajectories Computer vision Binocular positioning Deep learning
Online adgang:	http://www.sciencedirect.com/science/article/pii/S2405844022013779

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