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Sports Training Correction based on 3D Virtual Image Model

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Abstract

In the process of sports movements, relevant actions occur at a fast pace. In the field of artificial intelligence, recognizing such action features poses significant challenges, thereby affecting the accuracy of motion training correction. This paper proposes a correction method for sports training based on a support vector machine classification model. The method involves constructing a skeletal model of the athlete's body, reading keyframes of motion training data, and creating a three-dimensional virtual image model of the motion training using spherical linear interpolation and spatiotemporal deformation methods. This model enables the extraction of motion training action images. The obtained motion training action images are preprocessed using wavelet transformation to extract temporal and frequency domain features, which are then used as inputs to the support vector machine classification model. The model classifies and recognizes correct actions from incorrect actions. Additionally, by decomposing the incorrect motion training actions using RGB plane separation, the information features of motion training images are extracted, and a correction is achieved through comparison. The proposed method has a structural similarity of over 0.923 and an image information entropy of over 0.917 for basketball training action image processing. The recognition rate of dribbling training actions is 97.4%, and the peak signal-to-noise ratio of basketball training action images is 7.2 dB. After correcting the shooting actions using the proposed method, the shooting accuracy reaches 94%.

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Acknowledgements

This work is supported by National Key R&D Program of China (No. 2022YFE0138600). This job is also supported by Supported by Natural Science Foundation of Shaanxi Province of China (2021JM-344) and Open Fund for Chongqing Key Laboratory of Computational Intelligence (No. 2020FF02) and Shaanxi Key Laboratory of Intelligent Processing for Big Energy Data (No. IPBED7).

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Yan Zhang contributed to Writing—Original Draft, Methodology, and Conceptualization; Wei Wei contributed to Conceptualization and Writing—Review and Editing.

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Correspondence to Wei Wei.

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Zhang, Y., Wei, W. Sports Training Correction based on 3D Virtual Image Model. Mobile Netw Appl (2023). https://doi.org/10.1007/s11036-023-02252-1

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