<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In this paper, the Lagrangian mathematical equation is used to construct a feature extraction model for the flexibility of aerobics athletes. At the same time, this paper uses machine vision to identify and extract feature points of aerobics movements. This paper realizes image feature recognition through multi-dimensional pixel information decomposition. At the same time, we realize the radian trajectory positioning of the aerobics action image based on the Lagrangian equation. The experimental research shows that the algorithm proposed in this paper has higher accuracy and better localization performance when recognizing the radian trajectory of aerobics movements. The algorithm improves the optimization and correction ability of aerobics movements.</p>
</abstract>

In this paper, the Lagrangian mathematical equation is used to construct a feature extraction model for the flexibility of aerobics athletes. At the same time, this paper uses machine vision to identify and extract feature points of aerobics movements. This paper realizes image feature recognition through multi-dimensional pixel information decomposition. At the same time, we realize the radian trajectory positioning of the aerobics action image based on the Lagrangian equation. The experimental research shows that the algorithm proposed in this paper has higher accuracy and better localization performance when recognizing the radian trajectory of aerobics movements. The algorithm improves the optimization and correction ability of aerobics movements.

Optimization System of Strength and Flexibility Training in Aerobics Course Based on Lagrangian Mathematical Equation

Shandong University of Finance and Economics

Applied Mathematics and Nonlinear Sciences

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

In this paper, the Lagrangian mathematical equation is used to construct a feature extraction model for the flexibility of aerobics athletes. At the same time,...

Optimization System of Strength and Flexibility Training in Aerobics Course Based on Lagrangian Mathematical Equation

Online veröffentlicht: 15. Juli 2022

Seitenbereich: 1801 - 1808

Eingereicht: 19. Apr. 2022

Akzeptiert: 22. Juni 2022

DOI: https://doi.org/10.2478/amns.2022.2.0169

Schlüsselwörter
Lagrangian mathematical equation, Aerobics, Action recognition, Flexibility, Human-computer interaction, Feature extraction

© 2023 Jianghua Han, published by Sciendo

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

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Optimization System of Strength and Flexibility Training in Aerobics Course Based on Lagrangian Mathematical Equation

Online veröffentlicht: 15. Juli 2022

Seitenbereich: 1801 - 1808

Eingereicht: 19. Apr. 2022

Akzeptiert: 22. Juni 2022

DOI: https://doi.org/10.2478/amns.2022.2.0169

SchlüsselwörterLagrangian mathematical equation, Aerobics, Action recognition, Flexibility, Human-computer interaction, Feature extraction

© 2023 Jianghua Han, published by Sciendo

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

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Schlüsselwörter
Lagrangian mathematical equation, Aerobics, Action recognition, Flexibility, Human-computer interaction, Feature extraction