Research on the Application of Big Data in the Innovation of Physical Education Teaching Model

DOI

10.2991/978-94-6463-058-9_37How to use a DOI?

Keywords

MSR Action3D; Aerobics; Action Recognition; Feature Fusion

Abstract

In view of the problem that traditional teaching scoring is often based on the experience of the scoring teacher, which results in imprecise scoring, this research proposes an intelligent recognition aerobics action scoring system based on big data. Firstly, the framework of the system is constructed, and the module for collecting 3D data is designed. Secondly, by supplementing and expanding the standard movements in MSR action 3D database, the aerobics evaluation database is established, and then the bone features and depth features are fused by using the principle of Fourier pyramid filtering. Finally, the fusion result data is classified by support vector machine to realize the design of Aerobics action recognition and evaluation function.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yun Huang
PY  - 2022
DA  - 2022/12/27
TI  - Research on the Application of Big Data in the Innovation of Physical Education Teaching Model
BT  - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
PB  - Atlantis Press
SP  - 215
EP  - 219
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-058-9_37
DO  - 10.2991/978-94-6463-058-9_37
ID  - Huang2022
ER  -