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基于智能图像的足球运动员训练管理系统的设计与实现

Design and Implementation of Football Player Training Management System Based on Intelligent Image.

作者信息

Sun Yang, Hu Changjun

机构信息

College of Physical Education and Health Sciences, Chongqing Normal University, Chongqing 401331, China.

College of Physical Education, Huazhong University of Science and Technology, Wuhan, Hubei 430012, China.

出版信息

Appl Bionics Biomech. 2022 Jan 11;2022:6091557. doi: 10.1155/2022/6091557. eCollection 2022.

Abstract

This article is aimed at studying the design and implementation of a football player training management system based on smart images. Based on the analysis of the importance of informatization for scientific football training, system performance requirements and intelligent image detection technology, the football player training management is designed. The overall architecture of the system, and the detailed design of each functional module of the system. It mainly includes football player information management module, football player training plan viewing module, training goal formulation module and training information feedback module. The realization of the training management system relies on intelligent image technology to detect and track athletes. Finally, the performance of the system was tested. The test results show that the expected response time of each module of the system when different numbers of users are accessed is within 3 seconds. The longest actual time is 2.64 s, and the actual shortest time is 1.18 s. It can be seen that the response time of the system meets the demand. At the same time, the system throughput rate meets the requirements of this article, and the user pass rate is also above 95%, indicating that the performance of the football player training management system designed in this article is better.

摘要

本文旨在研究基于智能图像的足球运动员训练管理系统的设计与实现。在分析信息化对科学足球训练的重要性、系统性能要求和智能图像检测技术的基础上,对足球运动员训练管理进行了设计。阐述了系统的总体架构以及系统各功能模块的详细设计。它主要包括足球运动员信息管理模块、足球运动员训练计划查看模块、训练目标制定模块和训练信息反馈模块。训练管理系统的实现依赖于智能图像技术对运动员进行检测和跟踪。最后,对系统的性能进行了测试。测试结果表明,系统各模块在不同用户访问量下的预期响应时间在3秒以内。实际最长时间为2.64秒,实际最短时间为1.18秒。可见,系统的响应时间满足需求。同时,系统吞吐量满足本文要求,用户通过率也在95%以上,表明本文设计的足球运动员训练管理系统性能较好。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e677/8767373/458b8047ecee/ABB2022-6091557.001.jpg

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