"互联网+"背景下基于多尺度Retinex算法的竞技跆拳道专项力量素质训练方法研究

3区 计算机科学 Q1 Computer Science Journal of Ambient Intelligence and Humanized Computing Pub Date : 2024-07-24 DOI:10.1007/s12652-024-04830-x
Fei Liu
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引用次数: 0

摘要

目前,力量素质训练方法存在一些问题,如运动训练效果达不到预期目标、可行性不强、针对性不强等,导致部分运动员训练效果不理想。为了提高竞技跆拳道专项力量素质训练效果,本文研究了 "互联网+"背景下基于多尺度Retinex算法的竞技跆拳道专项力量素质训练方法。在该方法中,利用力量素质训练视频图像采集模块采集力量素质训练视频图像并传输至力量素质训练视频图像处理模块,利用多尺度Retinex算法对力量素质训练视频图像进行增强,修正专项力量素质训练的测量误差;在力量素质训练成绩智能评价模块中分析竞技跆拳道运动员专项力量素质训练的相关数据,构建评价指标体系,对竞技跆拳道运动员的力量素质训练成绩进行评价;根据评价模块的评价结果,为竞技跆拳道运动员提供有针对性的专项力量素质训练方案;所有运动训练数据存储在数据库管理模块中。实验结果表明,该方法能显著提高竞技跆拳道运动员专项力量素质训练效果,能较好地把握训练内容和动作控制精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Research on the training method of special strength quality of competitive taekwondo based on multi-scale Retinex algorithm under the background of “Internet+”

At present, there are some problems in strength quality training methods, such as the sports training effect can not reach the expected goal, the feasibility is not good, and the lack of pertinence leads to the unsatisfactory training effect of some athletes. In order to improve the quality training effect of competitive Taekwondo special strength, this paper studies the quality training method of competitive Taekwondo special strength based on multi-scale Retinex algorithm under the background of “Internet+”. In this method, the strength quality training video image acquisition module is used to collect the strength quality training video image and transmit it to the strength quality training video image processing module, and the multi-scale Retinex algorithm is used to enhance the strength quality training video image and correct the measurement error of special strength quality training; Analyze the data related to the special strength quality training of competitive Taekwondo athletes in the intelligent evaluation module of strength quality training results, construct an evaluation index system, and evaluate the strength quality training results of competitive Taekwondo athletes; According to the evaluation results of the evaluation module, provide targeted special strength quality training programs for competitive taekwondo athletes; All sports training data are stored in the database management module. The experimental results show that this method can significantly improve the special strength quality training effect of competitive Taekwondo athletes, and can better grasp the training content and movement control accuracy.

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来源期刊
Journal of Ambient Intelligence and Humanized Computing
Journal of Ambient Intelligence and Humanized Computing COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
9.60
自引率
0.00%
发文量
854
期刊介绍: The purpose of JAIHC is to provide a high profile, leading edge forum for academics, industrial professionals, educators and policy makers involved in the field to contribute, to disseminate the most innovative researches and developments of all aspects of ambient intelligence and humanized computing, such as intelligent/smart objects, environments/spaces, and systems. The journal discusses various technical, safety, personal, social, physical, political, artistic and economic issues. The research topics covered by the journal are (but not limited to): Pervasive/Ubiquitous Computing and Applications Cognitive wireless sensor network Embedded Systems and Software Mobile Computing and Wireless Communications Next Generation Multimedia Systems Security, Privacy and Trust Service and Semantic Computing Advanced Networking Architectures Dependable, Reliable and Autonomic Computing Embedded Smart Agents Context awareness, social sensing and inference Multi modal interaction design Ergonomics and product prototyping Intelligent and self-organizing transportation networks & services Healthcare Systems Virtual Humans & Virtual Worlds Wearables sensors and actuators
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