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

<p>In order to realize the innovation of sports teaching mode, this paper first combines the motion capture technology and three-dimensional modeling technology, based on the objectives and theories of sports teaching in colleges and universities, and constructs a college sports auxiliary teaching system under the fusion network architecture. Then, the three-dimensional modeling of sports action, the extraction of key sports action features, and the use of generalized discriminant analysis and hierarchical SVM construction method for the degradation and classification, respectively, to achieve the recognition of the sport in sports teaching. Finally, the effectiveness of the system and teaching model was tested and evaluated through the use of Loadrunner and SPSS software. The results show that the response time is 2s when the number of concurrent users is 100, the utilization rate of CPU is 64.2%, and the mastery of sports knowledge and movement skills of the experimental class is higher than that of the control class by 0.18 and 0.26, respectively. The innovative teaching mode of physical education in this study is effective.</p>
</abstract>

In order to realize the innovation of sports teaching mode, this paper first combines the motion capture technology and three-dimensional modeling technology, based on the objectives and theories of sports teaching in colleges and universities, and constructs a college sports auxiliary teaching system under the fusion network architecture. Then, the three-dimensional modeling of sports action, the extraction of key sports action features, and the use of generalized discriminant analysis and hierarchical SVM construction method for the degradation and classification, respectively, to achieve the recognition of the sport in sports teaching. Finally, the effectiveness of the system and teaching model was tested and evaluated through the use of Loadrunner and SPSS software. The results show that the response time is 2s when the number of concurrent users is 100, the utilization rate of CPU is 64.2%, and the mastery of sports knowledge and movement skills of the experimental class is higher than that of the control class by 0.18 and 0.26, respectively. The innovative teaching mode of physical education in this study is effective.

Research and Effectiveness Analysis of Innovative Teaching Models of Physical Education in Colleges and Universities under Convergent Network Architecture

Applied Mathematics and Nonlinear Sciences

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

In order to realize the innovation of sports teaching mode, this paper first combines the motion capture technology and three-dimensional modeling technology,...

Research and Effectiveness Analysis of Innovative Teaching Models of Physical Education in Colleges and Universities under Convergent Network Architecture

Data publikacji: 11 lis 2023

Zakres stron: -

Otrzymano: 26 gru 2022

Przyjęty: 22 maj 2023

DOI: https://doi.org/10.2478/amns.2023.2.01099

Słowa kluczowe
Hierarchical SVM construction method, Fusion network architecture, Action modeling, Feature extraction, Generalized discriminant analysis, Innovative teaching in sports

© 2023 Meng Du, published by Sciendo

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

Research and Effectiveness Analysis of Innovative Teaching Models of Physical Education in Colleges and Universities under Convergent Network Architecture

Data publikacji: 11 lis 2023

Zakres stron: -

Otrzymano: 26 gru 2022

Przyjęty: 22 maj 2023

DOI: https://doi.org/10.2478/amns.2023.2.01099

Słowa kluczoweHierarchical SVM construction method, Fusion network architecture, Action modeling, Feature extraction, Generalized discriminant analysis, Innovative teaching in sports

© 2023 Meng Du, published by Sciendo

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

Słowa kluczowe
Hierarchical SVM construction method, Fusion network architecture, Action modeling, Feature extraction, Generalized discriminant analysis, Innovative teaching in sports