大数据时代信息技术在体育教学中的有效应用

IF 3.1 Q1 Mathematics Applied Mathematics and Nonlinear Sciences Pub Date : 2024-01-01 DOI:10.2478/amns-2024-0642
Jun Chen
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引用次数: 0

摘要

随着现代信息技术的发展和 "互联网+教育 "的推进,体育教学智能化已成为未来发展的必然趋势。为了提高体育教学质量和学生身体素质,本文提出了Openpose骨骼跟踪技术,对体育课堂中的训练动作进行识别和规范,保证学生活动的充分性,提高体育课堂教学效率。此外,本文还提出了一种深度分离卷积算法,以优化骨追踪技术,提高系统动作识别的准确性。经过实验分析,该系统与体育课堂的匹配度达到 75% 以上。在提高阶段性体育成绩方面发挥了特殊作用,引入Openpose的体育成绩比未使用的体育成绩提高了近10分。可见,基于深度分离卷积算法的Openpose骨骼跟踪技术可以提高体育课堂的教学效率,规范学生的训练动作。
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Effective Application of Information Technology in Physical Education Teaching in the Era of Big Data
With the development of modern information technology and the promotion of “Internet + education”, the intelligentization of physical education has become an inevitable trend for future growth. To improve the teaching quality of physical education and students’ physical quality, this paper proposes Openpose bone tracking technology to identify and standardize the training movements in the physical education classroom, to ensure the adequacy of students’ activities and improve the teaching efficiency of the physical education classroom. In addition, this paper also proposes a depth-separated convolutional algorithm to optimize the bone tracking technology and enhance the accuracy of the system’s action recognition. After experimental Analysis, the matching degree of this system with the sports classroom reaches more than 75%. It plays a specific role in improving stage-specific sports scores, and nearly 10 points of scores improve the sports scores of the introduction of Openpose compared with the unused ones. It can be seen that Openpose bone tracking technology based on the depth-separated convolution algorithm can improve the teaching efficiency of the physical education classroom and standardize students’ training movements.
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来源期刊
Applied Mathematics and Nonlinear Sciences
Applied Mathematics and Nonlinear Sciences Engineering-Engineering (miscellaneous)
CiteScore
2.90
自引率
25.80%
发文量
203
期刊最新文献
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