Improvement strategies of athlete’s concentration level based on visual attention model
Abstract Different athletes have different requirements and coping methods for concentration. Research based on visual attention models can help identify individual differences and propose targeted improvement strategies to improve the concentration level of each athlete, thereby enhancing their per...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-06556-y |
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| _version_ | 1849334404332126208 |
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| author | Jiabao Cui Haiyang Zhou Rongyang Chen Danping Li Weishan Mai Weikun Peng Qiusheng Long |
| author_facet | Jiabao Cui Haiyang Zhou Rongyang Chen Danping Li Weishan Mai Weikun Peng Qiusheng Long |
| author_sort | Jiabao Cui |
| collection | DOAJ |
| description | Abstract Different athletes have different requirements and coping methods for concentration. Research based on visual attention models can help identify individual differences and propose targeted improvement strategies to improve the concentration level of each athlete, thereby enhancing their performance in competition. Currently, visual attention models are difficult to help athletes extract important information. This article conducted a questionnaire survey on the concentration level of athletes and studied a visual attention model. Taking fencing as an example, this article studied the commonly used evaluation indicators for athletes’ concentration level. In addition to objective measurement indicators, it also conducted an attention questionnaire survey in a sports college to collect relevant data on fencers. It applied a visual attention model for data analysis to explore the characteristics and changes in the concentration level of fencers. This article took the average number of matches played by athletes within one year as the direction. It is found that the winning rate of male athletes in the control group was 79.6%, and that of female athletes was 89.1%. The winning rate of male athletes in the intervention group was 90.1%, and that of female athletes was 97.7%. After the effectiveness of this model was confirmed, the attention level of athletes was actually improved. The athlete attention level analysis method based on visual attention model, due to its high accuracy, can help people find different degrees of differences between people, thus providing a basis for formulating targeted training plans. |
| format | Article |
| id | doaj-art-447ee467de0e477087f1f92112ca8ced |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-447ee467de0e477087f1f92112ca8ced2025-08-20T03:45:35ZengNature PortfolioScientific Reports2045-23222025-07-0115111310.1038/s41598-025-06556-yImprovement strategies of athlete’s concentration level based on visual attention modelJiabao Cui0Haiyang Zhou1Rongyang Chen2Danping Li3Weishan Mai4Weikun Peng5Qiusheng Long6Physical Education School of Shenzhen UniversitySports Training College of TianJin University of Sport Tianjin 301617General Education Department, South China Normal UniversityPhysical Education School of Shenzhen UniversityPhysical Education School of Shenzhen UniversityPhysical Education School of Shenzhen UniversitySchool of Physical Education, Guangdong Second Normal UniversityAbstract Different athletes have different requirements and coping methods for concentration. Research based on visual attention models can help identify individual differences and propose targeted improvement strategies to improve the concentration level of each athlete, thereby enhancing their performance in competition. Currently, visual attention models are difficult to help athletes extract important information. This article conducted a questionnaire survey on the concentration level of athletes and studied a visual attention model. Taking fencing as an example, this article studied the commonly used evaluation indicators for athletes’ concentration level. In addition to objective measurement indicators, it also conducted an attention questionnaire survey in a sports college to collect relevant data on fencers. It applied a visual attention model for data analysis to explore the characteristics and changes in the concentration level of fencers. This article took the average number of matches played by athletes within one year as the direction. It is found that the winning rate of male athletes in the control group was 79.6%, and that of female athletes was 89.1%. The winning rate of male athletes in the intervention group was 90.1%, and that of female athletes was 97.7%. After the effectiveness of this model was confirmed, the attention level of athletes was actually improved. The athlete attention level analysis method based on visual attention model, due to its high accuracy, can help people find different degrees of differences between people, thus providing a basis for formulating targeted training plans.https://doi.org/10.1038/s41598-025-06556-yAthletes concentrationFocus levelVisual attentionAttention mechanismAttention allocation |
| spellingShingle | Jiabao Cui Haiyang Zhou Rongyang Chen Danping Li Weishan Mai Weikun Peng Qiusheng Long Improvement strategies of athlete’s concentration level based on visual attention model Scientific Reports Athletes concentration Focus level Visual attention Attention mechanism Attention allocation |
| title | Improvement strategies of athlete’s concentration level based on visual attention model |
| title_full | Improvement strategies of athlete’s concentration level based on visual attention model |
| title_fullStr | Improvement strategies of athlete’s concentration level based on visual attention model |
| title_full_unstemmed | Improvement strategies of athlete’s concentration level based on visual attention model |
| title_short | Improvement strategies of athlete’s concentration level based on visual attention model |
| title_sort | improvement strategies of athlete s concentration level based on visual attention model |
| topic | Athletes concentration Focus level Visual attention Attention mechanism Attention allocation |
| url | https://doi.org/10.1038/s41598-025-06556-y |
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