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<p>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.</p>
</abstract>

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.

Effective Application of Information Technology in Physical Education Teaching in the Era of Big Data

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

With the development of modern information technology and the promotion of “Internet + education”, the intelligentization of physical education has become an...

Effective Application of Information Technology in Physical Education Teaching in the Era of Big Data

Online veröffentlicht: 26. Feb. 2024

Seitenbereich: -

Eingereicht: 15. Jan. 2024

Akzeptiert: 25. Jan. 2024

DOI: https://doi.org/10.2478/amns-2024-0642

Schlüsselwörter
Depth-separated convolution, Openpose, Information technology, Physical education teaching

© 2023 Jun Chen, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Effective Application of Information Technology in Physical Education Teaching in the Era of Big Data

Online veröffentlicht: 26. Feb. 2024

Seitenbereich: -

Eingereicht: 15. Jan. 2024

Akzeptiert: 25. Jan. 2024

DOI: https://doi.org/10.2478/amns-2024-0642

SchlüsselwörterDepth-separated convolution, Openpose, Information technology, Physical education teaching

© 2023 Jun Chen, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Depth-separated convolution, Openpose, Information technology, Physical education teaching