Analysis Technology of Tennis Sports Match Based on Data Mining and Image Feature Retrieval
Tennis game technical analysis is affected by factors such as complex background and on-site noise, which will lead to certain deviations in the results, and it is difficult to obtain scientific and effective tennis technical training strategies through a few game videos. In order to improve the per...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/8877161 |
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| _version_ | 1832546955168841728 |
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| author | Hong Huang Risheng Deng |
| author_facet | Hong Huang Risheng Deng |
| author_sort | Hong Huang |
| collection | DOAJ |
| description | Tennis game technical analysis is affected by factors such as complex background and on-site noise, which will lead to certain deviations in the results, and it is difficult to obtain scientific and effective tennis technical training strategies through a few game videos. In order to improve the performance of tennis game technical analysis, based on machine learning algorithms, this paper combines image analysis to identify athletes’ movement characteristics and image feature recognition processing with image recognition technology, realizes real-time tracking of athletes’ dynamic characteristics, and records technical characteristics. Moreover, this paper combines data mining technology to obtain effective data from massive video and image data, uses mathematical statistics and data mining technology for data processing, and scientifically analyzes tennis game technology with the support of ergonomics. In addition, this paper designs a controlled experiment to verify the technical analysis effect of the tennis match and the performance of the model itself. The research results show that the model constructed in this paper has certain practical effects and can be applied to actual competitions. |
| format | Article |
| id | doaj-art-7f931102b43d45f1b66dde898c382eac |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-7f931102b43d45f1b66dde898c382eac2025-02-03T06:46:30ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/88771618877161Analysis Technology of Tennis Sports Match Based on Data Mining and Image Feature RetrievalHong Huang0Risheng Deng1School of Sports Science, Lingnan Normal University, Zhanjiang, Guangdong 524048, ChinaSchool of Sports Science, Lingnan Normal University, Zhanjiang, Guangdong 524048, ChinaTennis game technical analysis is affected by factors such as complex background and on-site noise, which will lead to certain deviations in the results, and it is difficult to obtain scientific and effective tennis technical training strategies through a few game videos. In order to improve the performance of tennis game technical analysis, based on machine learning algorithms, this paper combines image analysis to identify athletes’ movement characteristics and image feature recognition processing with image recognition technology, realizes real-time tracking of athletes’ dynamic characteristics, and records technical characteristics. Moreover, this paper combines data mining technology to obtain effective data from massive video and image data, uses mathematical statistics and data mining technology for data processing, and scientifically analyzes tennis game technology with the support of ergonomics. In addition, this paper designs a controlled experiment to verify the technical analysis effect of the tennis match and the performance of the model itself. The research results show that the model constructed in this paper has certain practical effects and can be applied to actual competitions.http://dx.doi.org/10.1155/2020/8877161 |
| spellingShingle | Hong Huang Risheng Deng Analysis Technology of Tennis Sports Match Based on Data Mining and Image Feature Retrieval Complexity |
| title | Analysis Technology of Tennis Sports Match Based on Data Mining and Image Feature Retrieval |
| title_full | Analysis Technology of Tennis Sports Match Based on Data Mining and Image Feature Retrieval |
| title_fullStr | Analysis Technology of Tennis Sports Match Based on Data Mining and Image Feature Retrieval |
| title_full_unstemmed | Analysis Technology of Tennis Sports Match Based on Data Mining and Image Feature Retrieval |
| title_short | Analysis Technology of Tennis Sports Match Based on Data Mining and Image Feature Retrieval |
| title_sort | analysis technology of tennis sports match based on data mining and image feature retrieval |
| url | http://dx.doi.org/10.1155/2020/8877161 |
| work_keys_str_mv | AT honghuang analysistechnologyoftennissportsmatchbasedondataminingandimagefeatureretrieval AT rishengdeng analysistechnologyoftennissportsmatchbasedondataminingandimagefeatureretrieval |