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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Bibliografiska uppgifter
Huvudupphovsmän: Jiabei Luo, Yujie Hu, Keith Davids, Di Zhang, Cade Gouin, Xiang Li, Xianrui Xu
Materialtyp: Artikel
Språk:English
Publicerad: Elsevier 2022-08-01
Serie:Heliyon
Ämnen:
Coordination
Badminton player trajectories
Computer vision
Binocular positioning
Deep learning
Länkar:http://www.sciencedirect.com/science/article/pii/S2405844022013779

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