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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Bibliographic Details
Main Authors: Jiabei Luo, Yujie Hu, Keith Davids, Di Zhang, Cade Gouin, Xiang Li, Xianrui Xu
Format: Article
Language:English
Published: Elsevier 2022-08-01
Series:Heliyon
Subjects:
Coordination
Badminton player trajectories
Computer vision
Binocular positioning
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844022013779

Internet

http://www.sciencedirect.com/science/article/pii/S2405844022013779

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