<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

Data publikacji: 15 lip 2022

Zakres stron: 1801 - 1808

Otrzymano: 19 kwi 2022

Przyjęty: 22 cze 2022

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

Słowa kluczowe
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

Data publikacji: 15 lip 2022

Zakres stron: 1801 - 1808

Otrzymano: 19 kwi 2022

Przyjęty: 22 cze 2022

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

Słowa kluczoweLagrangian 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

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