Abstract
The accuracy evaluation method of sports training is not high due to factors such as light and angle, and the accuracy of sensor recognition methods is not high. Therefore, this article designs and develops a method for evaluating the accuracy of sports training movements based on a grating ruler displacement sensor and joint recognition algorithm, in order to improve the accuracy and stability of the evaluation. Research on connecting the grating ruler displacement sensor to the joint site, collecting real-time displacement data of the joint, and preprocessing the collected data to improve data quality. For the collected displacement data, joint recognition algorithms are used for analysis and processing. By extracting and comparing joint features, the collected displacement data is matched with the preset action mode to obtain accurate action recognition results. Based on the results of action recognition, accuracy evaluation is based on various indicators, such as the completeness, accuracy, and stability of actions, to obtain the evaluation results for the accuracy of sports training actions. The evaluation results can be provided to coaches or athletes to evaluate the effectiveness of training, identify problems, and make adjustments.
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This work was sponsored in part by National Natural Science Foundation of China (2345678).
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Li, L. Accuracy evaluation of sports training actions based on grating ruler displacement sensor and joint recognition algorithm. Opt Quant Electron 56, 554 (2024). https://doi.org/10.1007/s11082-023-06246-x
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DOI: https://doi.org/10.1007/s11082-023-06246-x