Detection Method of Limb Movement in Competitive Sports Training Based on Deep Learning
Traditional methods have the problems of insufficient accuracy and slow speed in human posture detection. In order to solve the above problems, a limb movement detection method in competitive sports training based on deep learning is proposed. The force change parameters of sports limb movements in...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2022/8643234 |
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| _version_ | 1832548601955352576 |
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| author | Chunlin Qin Shenglu Huo |
| author_facet | Chunlin Qin Shenglu Huo |
| author_sort | Chunlin Qin |
| collection | DOAJ |
| description | Traditional methods have the problems of insufficient accuracy and slow speed in human posture detection. In order to solve the above problems, a limb movement detection method in competitive sports training based on deep learning is proposed. The force change parameters of sports limb movements in the process of sports are computed to achieve the detection of limb movements in competitive sports training, and the limb movement characteristics in competitive sports training are extracted using a deep learning algorithm. The experimental results show that the limb movement detection method based on deep learning in competitive sports training has significantly higher detection accuracy and faster speed. |
| format | Article |
| id | doaj-art-501b357dad134d0fb7a6393b5e8c7f8d |
| institution | Kabale University |
| issn | 2314-4785 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Mathematics |
| spelling | doaj-art-501b357dad134d0fb7a6393b5e8c7f8d2025-02-03T06:13:31ZengWileyJournal of Mathematics2314-47852022-01-01202210.1155/2022/8643234Detection Method of Limb Movement in Competitive Sports Training Based on Deep LearningChunlin Qin0Shenglu Huo1Department of BasicSchool of Economic and ManagementTraditional methods have the problems of insufficient accuracy and slow speed in human posture detection. In order to solve the above problems, a limb movement detection method in competitive sports training based on deep learning is proposed. The force change parameters of sports limb movements in the process of sports are computed to achieve the detection of limb movements in competitive sports training, and the limb movement characteristics in competitive sports training are extracted using a deep learning algorithm. The experimental results show that the limb movement detection method based on deep learning in competitive sports training has significantly higher detection accuracy and faster speed.http://dx.doi.org/10.1155/2022/8643234 |
| spellingShingle | Chunlin Qin Shenglu Huo Detection Method of Limb Movement in Competitive Sports Training Based on Deep Learning Journal of Mathematics |
| title | Detection Method of Limb Movement in Competitive Sports Training Based on Deep Learning |
| title_full | Detection Method of Limb Movement in Competitive Sports Training Based on Deep Learning |
| title_fullStr | Detection Method of Limb Movement in Competitive Sports Training Based on Deep Learning |
| title_full_unstemmed | Detection Method of Limb Movement in Competitive Sports Training Based on Deep Learning |
| title_short | Detection Method of Limb Movement in Competitive Sports Training Based on Deep Learning |
| title_sort | detection method of limb movement in competitive sports training based on deep learning |
| url | http://dx.doi.org/10.1155/2022/8643234 |
| work_keys_str_mv | AT chunlinqin detectionmethodoflimbmovementincompetitivesportstrainingbasedondeeplearning AT shengluhuo detectionmethodoflimbmovementincompetitivesportstrainingbasedondeeplearning |