Normative Evaluation Method of Long Jump Action Based on Human Pose Estimation
Addressing the issue of the lack of objective quantitative evaluation in training long jump events, this study presents a normative analysis method based on human pose estimation and similarity measures. By training a lightweight human pose estimation model, this method can run on low-delay embedded...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10310194/ |
| _version_ | 1797627812456169472 |
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| author | Xiugang Gong Xinyuan Geng Guangjun Nie Tao Wang Jiajun Zhang Jiebing You |
| author_facet | Xiugang Gong Xinyuan Geng Guangjun Nie Tao Wang Jiajun Zhang Jiebing You |
| author_sort | Xiugang Gong |
| collection | DOAJ |
| description | Addressing the issue of the lack of objective quantitative evaluation in training long jump events, this study presents a normative analysis method based on human pose estimation and similarity measures. By training a lightweight human pose estimation model, this method can run on low-delay embedded devices. In line with key movements, the proposed method designs a normative analysis for long jump actions, which yields a measurement of the movements’ adherence to the standard and provides corrective suggestions. Experimental results indicate that the accuracy of this approach in analyzing the standardization of long jump action reaches 91.3%. As a result, it holds significant application value in various scenarios, including students’ long jump training and correction of long jump techniques. Furthermore, it can be extended to other practical applications beyond sports. |
| first_indexed | 2024-03-11T10:30:50Z |
| format | Article |
| id | doaj.art-8fec13df165e4940bac15cae9f821833 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-11T10:30:50Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-8fec13df165e4940bac15cae9f8218332023-11-15T00:00:56ZengIEEEIEEE Access2169-35362023-01-011112545212545910.1109/ACCESS.2023.333075710310194Normative Evaluation Method of Long Jump Action Based on Human Pose EstimationXiugang Gong0Xinyuan Geng1https://orcid.org/0009-0008-6341-2527Guangjun Nie2Tao Wang3Jiajun Zhang4Jiebing You5https://orcid.org/0009-0003-4294-2493School of Computer Science and Technology, Shandong University of Technology, Zibo, ChinaSchool of Computer Science and Technology, Shandong University of Technology, Zibo, ChinaDepartment of Neurology, Zibo Central Hospital, Zibo, ChinaSchool of Computer Science and Technology, Shandong University of Technology, Zibo, ChinaSchool of Computer Science and Technology, Shandong University of Technology, Zibo, ChinaDepartment of Neurology, Zibo Central Hospital, Zibo, ChinaAddressing the issue of the lack of objective quantitative evaluation in training long jump events, this study presents a normative analysis method based on human pose estimation and similarity measures. By training a lightweight human pose estimation model, this method can run on low-delay embedded devices. In line with key movements, the proposed method designs a normative analysis for long jump actions, which yields a measurement of the movements’ adherence to the standard and provides corrective suggestions. Experimental results indicate that the accuracy of this approach in analyzing the standardization of long jump action reaches 91.3%. As a result, it holds significant application value in various scenarios, including students’ long jump training and correction of long jump techniques. Furthermore, it can be extended to other practical applications beyond sports.https://ieeexplore.ieee.org/document/10310194/Human pose estimationsimilarity measuresaction recognition and correction |
| spellingShingle | Xiugang Gong Xinyuan Geng Guangjun Nie Tao Wang Jiajun Zhang Jiebing You Normative Evaluation Method of Long Jump Action Based on Human Pose Estimation IEEE Access Human pose estimation similarity measures action recognition and correction |
| title | Normative Evaluation Method of Long Jump Action Based on Human Pose Estimation |
| title_full | Normative Evaluation Method of Long Jump Action Based on Human Pose Estimation |
| title_fullStr | Normative Evaluation Method of Long Jump Action Based on Human Pose Estimation |
| title_full_unstemmed | Normative Evaluation Method of Long Jump Action Based on Human Pose Estimation |
| title_short | Normative Evaluation Method of Long Jump Action Based on Human Pose Estimation |
| title_sort | normative evaluation method of long jump action based on human pose estimation |
| topic | Human pose estimation similarity measures action recognition and correction |
| url | https://ieeexplore.ieee.org/document/10310194/ |
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