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Intelligent Skiing Posture Detection and Recognition Through Internet of Bodies

Intelligent Skiing Posture Detection and Recognition Through Internet of Bodies
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Author(s): Peihua Liu (Beihua University, China)
Copyright: 2022
Volume: 13
Issue: 2
Pages: 10
Source title: International Journal of Mobile Computing and Multimedia Communications (IJMCMC)
Editor(s)-in-Chief: Agustinus Waluyo (Monash University, Australia)
DOI: 10.4018/IJMCMC.293746

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Abstract

The training of special ability of skiing should start from the control of body posture ability to highlight the characteristics of the sports. Thus, the athletes can have the sports ability in the process of high-speed skiing. This paper establishes a system to automatically recognize the skiing posture which can help athletes grasp the skiing postures. First, the skiing images are collected by distributed camera. Second, the skeleton features are extracted to learn a classification model which is used to recognize and adjust skiing postures. Lastly, the analytical results of posture recognition is returned to athletes through Internet of bodies. The framework can effectively recognize the skiing postures and provide athletes with training advices.

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