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Design and implementation of football training system based on computer vision technology

Published: 17 April 2024 Publication History

Abstract

In order to improve the science and quality of football training, a football training system based on computer vision technology is studied. Collect initial motion data through motion capture to form an action database, modify and design the actions in the action database, obtain standard technical actions, and arrange and simulate each standard technical action through motion splicing; By using video shooting technology to obtain the image data of athletes during physical exercise, the measurement deviation in sports training is discussed through the trajectory tracking and error judgment of the motion nodes, so as to provide more efficient sports guidance and improve the movement and training level. The simulation test results show that compared with other corresponding systems, the system is outstanding in the aspects of fast response and improved control accuracy, so as to realize the optimal monitoring effect of sports training errors.

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    EITCE '23: Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering
    October 2023
    1809 pages
    ISBN:9798400708305
    DOI:10.1145/3650400
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 17 April 2024

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