Application of video behavior fast detection based on wearable motion sensor devices in sports training
The sensors can collect the athletes' movement data in real time, providing more accurate and objective feedback for the training process. This study aims to explore the application of video behavior rapid detection based on sports wearable sensor devices in sports training. By integrating sens...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-06-01
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| Series: | Measurement: Sensors |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2665917424000722 |
| _version_ | 1797253896013348864 |
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| author | Yan Zhang Yihua Pi Qingbo Wang Xiaodong Long Shaoyong Wan Peng Liu Yichong Liu |
| author_facet | Yan Zhang Yihua Pi Qingbo Wang Xiaodong Long Shaoyong Wan Peng Liu Yichong Liu |
| author_sort | Yan Zhang |
| collection | DOAJ |
| description | The sensors can collect the athletes' movement data in real time, providing more accurate and objective feedback for the training process. This study aims to explore the application of video behavior rapid detection based on sports wearable sensor devices in sports training. By integrating sensor data and video information, more comprehensive and accurate behavioral analysis is provided to help coaches better understand athlete performance and progress. The study uses an approach based on motion wearable sensor devices and video technology, in which athletes wear sensor devices and exercise during training. Sensors automatically record movement data, and cameras record video of the training process. Then, computer vision algorithms and machine learning techniques are used, combined with sensor data and video information, for rapid behavior detection. The experimental results show that the video behavior detection based on sports wearable sensor devices has high accuracy and efficiency in sports training. Through the fusion of sensor data and video information, the movement, posture and technical details of the athlete can be analyzed in real time, and accurate evaluation results can be obtained. |
| first_indexed | 2024-04-24T21:41:20Z |
| format | Article |
| id | doaj.art-3f4ce06e0cad49e5a905d484ae4182c3 |
| institution | Directory Open Access Journal |
| issn | 2665-9174 |
| language | English |
| last_indexed | 2024-04-24T21:41:20Z |
| publishDate | 2024-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Measurement: Sensors |
| spelling | doaj.art-3f4ce06e0cad49e5a905d484ae4182c32024-03-21T05:37:39ZengElsevierMeasurement: Sensors2665-91742024-06-0133101096Application of video behavior fast detection based on wearable motion sensor devices in sports trainingYan Zhang0Yihua Pi1Qingbo Wang2Xiaodong Long3Shaoyong Wan4Peng Liu5Yichong Liu6Guangxi University of Chinese Medicine, Nanning, Guangxi, 530200, ChinaGuangxi University of Chinese Medicine, Nanning, Guangxi, 530200, ChinaGuangxi University of Chinese Medicine, Nanning, Guangxi, 530200, ChinaJinggangshan University, Ji'an, Jiangxi, 343009, ChinaJinggangshan University, Ji'an, Jiangxi, 343009, ChinaGuangxi University Of Finance and Economics, Nanning, Guangxi, 530007, ChinaGuangxi University of Chinese Medicine, Nanning, Guangxi, 530200, China; Corresponding author.The sensors can collect the athletes' movement data in real time, providing more accurate and objective feedback for the training process. This study aims to explore the application of video behavior rapid detection based on sports wearable sensor devices in sports training. By integrating sensor data and video information, more comprehensive and accurate behavioral analysis is provided to help coaches better understand athlete performance and progress. The study uses an approach based on motion wearable sensor devices and video technology, in which athletes wear sensor devices and exercise during training. Sensors automatically record movement data, and cameras record video of the training process. Then, computer vision algorithms and machine learning techniques are used, combined with sensor data and video information, for rapid behavior detection. The experimental results show that the video behavior detection based on sports wearable sensor devices has high accuracy and efficiency in sports training. Through the fusion of sensor data and video information, the movement, posture and technical details of the athlete can be analyzed in real time, and accurate evaluation results can be obtained.http://www.sciencedirect.com/science/article/pii/S2665917424000722Sports trainingWearable sensor devicesVideo behaviorRapid detectionPhysical education teaching |
| spellingShingle | Yan Zhang Yihua Pi Qingbo Wang Xiaodong Long Shaoyong Wan Peng Liu Yichong Liu Application of video behavior fast detection based on wearable motion sensor devices in sports training Measurement: Sensors Sports training Wearable sensor devices Video behavior Rapid detection Physical education teaching |
| title | Application of video behavior fast detection based on wearable motion sensor devices in sports training |
| title_full | Application of video behavior fast detection based on wearable motion sensor devices in sports training |
| title_fullStr | Application of video behavior fast detection based on wearable motion sensor devices in sports training |
| title_full_unstemmed | Application of video behavior fast detection based on wearable motion sensor devices in sports training |
| title_short | Application of video behavior fast detection based on wearable motion sensor devices in sports training |
| title_sort | application of video behavior fast detection based on wearable motion sensor devices in sports training |
| topic | Sports training Wearable sensor devices Video behavior Rapid detection Physical education teaching |
| url | http://www.sciencedirect.com/science/article/pii/S2665917424000722 |
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