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

<p>In this paper, the transformer target detection algorithm is established by combining deep learning technology, and the Deep algorithm is added on the basis of SORT to optimize and improve SORT and overcome the problems of SORT. After the DeepSORT model is constructed, YOLOv5 is introduced into the model, and finally, the YOLOv5-DeepSORT model for sports element detection and tracking is constructed and completed. The ATT-BERT sports culture element entity recognition model is constructed from four levels: the BERT layer, the BiLSTM layer, the attention layer, and the CRF layer, which results in an application framework for the integration of traditional sports culture into teaching. The influence factors of sports culture perception and sports teaching, as well as the integration of traditional ethnic sports culture into sports teaching in Z, were empirically examined. The study shows that the correlation coefficient between the two is around 0.465, and there is a positive and strong correlation between the two. The correlation coefficients of the dimensions for physical education students and non-physical education students were 0.513, 0.483, 0.485, and 0.462, respectively. The most common teaching methods used by teachers in physical education classrooms integrating traditional sports culture were explanation, demonstration, and complete decomposition, with ratios of 0.78 and 0.7, respectively. The integration of sports culture into physical education has resulted in good results. The outcome was satisfactory.</p>
</abstract>

In this paper, the transformer target detection algorithm is established by combining deep learning technology, and the Deep algorithm is added on the basis of SORT to optimize and improve SORT and overcome the problems of SORT. After the DeepSORT model is constructed, YOLOv5 is introduced into the model, and finally, the YOLOv5-DeepSORT model for sports element detection and tracking is constructed and completed. The ATT-BERT sports culture element entity recognition model is constructed from four levels: the BERT layer, the BiLSTM layer, the attention layer, and the CRF layer, which results in an application framework for the integration of traditional sports culture into teaching. The influence factors of sports culture perception and sports teaching, as well as the integration of traditional ethnic sports culture into sports teaching in Z, were empirically examined. The study shows that the correlation coefficient between the two is around 0.465, and there is a positive and strong correlation between the two. The correlation coefficients of the dimensions for physical education students and non-physical education students were 0.513, 0.483, 0.485, and 0.462, respectively. The most common teaching methods used by teachers in physical education classrooms integrating traditional sports culture were explanation, demonstration, and complete decomposition, with ratios of 0.78 and 0.7, respectively. The integration of sports culture into physical education has resulted in good results. The outcome was satisfactory.

Research on the Application of Traditional Sports Culture in College Physical Education Teaching under the Background of Deep Learning

Applied Mathematics and Nonlinear Sciences

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

In this paper, the transformer target detection algorithm is established by combining deep learning technology, and the Deep algorithm is added on the basis of...

Research on the Application of Traditional Sports Culture in College Physical Education Teaching under the Background of Deep Learning

Data publikacji: 06 gru 2023

Zakres stron: -

Otrzymano: 15 sty 2023

Przyjęty: 16 cze 2023

DOI: https://doi.org/10.2478/amns.2023.2.01394

Słowa kluczowe
Transformer target detection, DeepSORT, YOLOv5- DeepSORT, ATT-BERT element recognition, Traditional sports culture

© 2023 Xuezhi Meng et al., published by Sciendo

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

Research on the Application of Traditional Sports Culture in College Physical Education Teaching under the Background of Deep Learning

Data publikacji: 06 gru 2023

Zakres stron: -

Otrzymano: 15 sty 2023

Przyjęty: 16 cze 2023

DOI: https://doi.org/10.2478/amns.2023.2.01394

Słowa kluczoweTransformer target detection, DeepSORT, YOLOv5- DeepSORT, ATT-BERT element recognition, Traditional sports culture

© 2023 Xuezhi Meng et al., published by Sciendo

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

Słowa kluczowe
Transformer target detection, DeepSORT, YOLOv5- DeepSORT, ATT-BERT element recognition, Traditional sports culture