The assessment of sports performance by grip pressure using flexible piezoresistive pressure sensors in seven sports events
Abstract Flexible micro-sensors have significant application potential in the field of sports performance evaluation. The aim of this study is to assess sports performance by grip pressure using a MMSS sensor (MXene as the sensitive material and melamine sponge as the substrate, a type of flexible p...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-12-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-82274-1 |
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| author | Kebao Zhang Beilei Guo Mingchuan Yang Yi Jia Kehu Zhang Liu Wang |
| author_facet | Kebao Zhang Beilei Guo Mingchuan Yang Yi Jia Kehu Zhang Liu Wang |
| author_sort | Kebao Zhang |
| collection | DOAJ |
| description | Abstract Flexible micro-sensors have significant application potential in the field of sports performance evaluation. The aim of this study is to assess sports performance by grip pressure using a MMSS sensor (MXene as the sensitive material and melamine sponge as the substrate, a type of flexible piezoresistive pressure sensor). The grip pressures of expert and amateur players are evaluated in single skills events (golf, billiards, basketball, javelin and shot put) and in skills conversion (badminton and tennis). Indicators (time nodes, intervals, peaks, etc.) related to grip pressure on the handle are collected, analyzed, and identified by artificial intelligence. Finally, the K-Nearest Neighbor (KNN) of artificial intelligence algorithms is employed to identify differences for 400 strokes of tennis players in interval training session. Expert tennis athlete exhibits a higher level of precision, concentration and stability for exert and release of grip force (KNN accuracy of train 95.0%) than amateur (KNN: 84.6%) during single movement, technical conversion, and interval training condition. This research offers a new perspective for evaluating sports performance in hand-held equipment events and presents a feasible direction for facing challenges of flexible wearable technology in practice. |
| format | Article |
| id | doaj-art-7d7bc8493d46404fbf4843dbe9a99dee |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-7d7bc8493d46404fbf4843dbe9a99dee2025-01-05T12:29:40ZengNature PortfolioScientific Reports2045-23222024-12-0114111210.1038/s41598-024-82274-1The assessment of sports performance by grip pressure using flexible piezoresistive pressure sensors in seven sports eventsKebao Zhang0Beilei Guo1Mingchuan Yang2Yi Jia3Kehu Zhang4Liu Wang5School of Sport and Physical Education, North University of ChinaNursing Science, Jin Cheng People’s HospitalScience and Technology on Electronic Test and Measurement Laboratory, North University of ChinaSchool of Sport and Physical Education, North University of ChinaPublishing Center, North University of ChinaSchool of Recreation and Community Sport, Capital University of Physical Education and SportsAbstract Flexible micro-sensors have significant application potential in the field of sports performance evaluation. The aim of this study is to assess sports performance by grip pressure using a MMSS sensor (MXene as the sensitive material and melamine sponge as the substrate, a type of flexible piezoresistive pressure sensor). The grip pressures of expert and amateur players are evaluated in single skills events (golf, billiards, basketball, javelin and shot put) and in skills conversion (badminton and tennis). Indicators (time nodes, intervals, peaks, etc.) related to grip pressure on the handle are collected, analyzed, and identified by artificial intelligence. Finally, the K-Nearest Neighbor (KNN) of artificial intelligence algorithms is employed to identify differences for 400 strokes of tennis players in interval training session. Expert tennis athlete exhibits a higher level of precision, concentration and stability for exert and release of grip force (KNN accuracy of train 95.0%) than amateur (KNN: 84.6%) during single movement, technical conversion, and interval training condition. This research offers a new perspective for evaluating sports performance in hand-held equipment events and presents a feasible direction for facing challenges of flexible wearable technology in practice.https://doi.org/10.1038/s41598-024-82274-1Assessment of sports performancePiezoresistive sensorsKinematic chainGrip pressure releaseReal scenarioArtificial intelligence |
| spellingShingle | Kebao Zhang Beilei Guo Mingchuan Yang Yi Jia Kehu Zhang Liu Wang The assessment of sports performance by grip pressure using flexible piezoresistive pressure sensors in seven sports events Scientific Reports Assessment of sports performance Piezoresistive sensors Kinematic chain Grip pressure release Real scenario Artificial intelligence |
| title | The assessment of sports performance by grip pressure using flexible piezoresistive pressure sensors in seven sports events |
| title_full | The assessment of sports performance by grip pressure using flexible piezoresistive pressure sensors in seven sports events |
| title_fullStr | The assessment of sports performance by grip pressure using flexible piezoresistive pressure sensors in seven sports events |
| title_full_unstemmed | The assessment of sports performance by grip pressure using flexible piezoresistive pressure sensors in seven sports events |
| title_short | The assessment of sports performance by grip pressure using flexible piezoresistive pressure sensors in seven sports events |
| title_sort | assessment of sports performance by grip pressure using flexible piezoresistive pressure sensors in seven sports events |
| topic | Assessment of sports performance Piezoresistive sensors Kinematic chain Grip pressure release Real scenario Artificial intelligence |
| url | https://doi.org/10.1038/s41598-024-82274-1 |
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