A Stable and Durable Triboelectric Nanogenerator for Speed Skating Land Training Monitoring
In the current IoT era, the key to sports intelligence is the effective collection and analysis of sports data. Sports data can accurately reflect an athlete’s athletic status and help coaches to develop competitive tactics and training programs. Wearable electronic devices used to collect sports da...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/11/22/3717 |
| _version_ | 1797465507845111808 |
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| author | Zhuo Lu Zhenning Xie Yongsheng Zhu Changjun Jia Yao Zhang Jie Yang Junyi Zhou Fengxin Sun Yupeng Mao |
| author_facet | Zhuo Lu Zhenning Xie Yongsheng Zhu Changjun Jia Yao Zhang Jie Yang Junyi Zhou Fengxin Sun Yupeng Mao |
| author_sort | Zhuo Lu |
| collection | DOAJ |
| description | In the current IoT era, the key to sports intelligence is the effective collection and analysis of sports data. Sports data can accurately reflect an athlete’s athletic status and help coaches to develop competitive tactics and training programs. Wearable electronic devices used to collect sports data currently have several drawbacks, including their large size, heavy weight, complex wiring, high cost, and need for frequent power replacement. In this work, transparent polyamide-66 (PA-66) and transparent polytetrafluoroethylene (PTFE) films were used as friction layers, polydimethylsiloxane (PDMS) was used as a support layer, and conductive hydrogels were used as electrodes, which were simply combined to create stable and durable triboelectric nanogenerators (SD-TENG) with good mechanical and triboelectric properties. In the test, the output power was 1mW under a load resistance of 10MΩ. In addition, the integrated intelligent speed skating land training assistance system monitors the changes in the joints and joint chains of skaters during land training in real time. The successful demonstration of the use of SD-TENG in speed skating land training will help to promote the development and application of TENG in the fields of intelligent sport monitoring, smart wearable devices, and big data analysis. |
| first_indexed | 2024-03-09T18:22:29Z |
| format | Article |
| id | doaj.art-6ecbfd6e1c224aab8b9b7384e78517de |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T18:22:29Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-6ecbfd6e1c224aab8b9b7384e78517de2023-11-24T08:09:24ZengMDPI AGElectronics2079-92922022-11-011122371710.3390/electronics11223717A Stable and Durable Triboelectric Nanogenerator for Speed Skating Land Training MonitoringZhuo Lu0Zhenning Xie1Yongsheng Zhu2Changjun Jia3Yao Zhang4Jie Yang5Junyi Zhou6Fengxin Sun7Yupeng Mao8School of Physical Education, Northeast Normal University, Changchun 130024, ChinaPhysical Education Department, Northeastern University, Shenyang 110819, ChinaPhysical Education Department, Northeastern University, Shenyang 110819, ChinaPhysical Education Department, Northeastern University, Shenyang 110819, ChinaSchool of Physical Education, Northeast Normal University, Changchun 130024, ChinaSchool of Physical Education, Northeast Normal University, Changchun 130024, ChinaWinter Sports Center, Hebei Sports Bureau, Shijiazhuang 050000, ChinaPhysical Education Department, Northeastern University, Shenyang 110819, ChinaSchool of Physical Education, Northeast Normal University, Changchun 130024, ChinaIn the current IoT era, the key to sports intelligence is the effective collection and analysis of sports data. Sports data can accurately reflect an athlete’s athletic status and help coaches to develop competitive tactics and training programs. Wearable electronic devices used to collect sports data currently have several drawbacks, including their large size, heavy weight, complex wiring, high cost, and need for frequent power replacement. In this work, transparent polyamide-66 (PA-66) and transparent polytetrafluoroethylene (PTFE) films were used as friction layers, polydimethylsiloxane (PDMS) was used as a support layer, and conductive hydrogels were used as electrodes, which were simply combined to create stable and durable triboelectric nanogenerators (SD-TENG) with good mechanical and triboelectric properties. In the test, the output power was 1mW under a load resistance of 10MΩ. In addition, the integrated intelligent speed skating land training assistance system monitors the changes in the joints and joint chains of skaters during land training in real time. The successful demonstration of the use of SD-TENG in speed skating land training will help to promote the development and application of TENG in the fields of intelligent sport monitoring, smart wearable devices, and big data analysis.https://www.mdpi.com/2079-9292/11/22/3717intelligent sportwearable electronic devicestriboelectric nanogeneratorsport monitoring |
| spellingShingle | Zhuo Lu Zhenning Xie Yongsheng Zhu Changjun Jia Yao Zhang Jie Yang Junyi Zhou Fengxin Sun Yupeng Mao A Stable and Durable Triboelectric Nanogenerator for Speed Skating Land Training Monitoring Electronics intelligent sport wearable electronic devices triboelectric nanogenerator sport monitoring |
| title | A Stable and Durable Triboelectric Nanogenerator for Speed Skating Land Training Monitoring |
| title_full | A Stable and Durable Triboelectric Nanogenerator for Speed Skating Land Training Monitoring |
| title_fullStr | A Stable and Durable Triboelectric Nanogenerator for Speed Skating Land Training Monitoring |
| title_full_unstemmed | A Stable and Durable Triboelectric Nanogenerator for Speed Skating Land Training Monitoring |
| title_short | A Stable and Durable Triboelectric Nanogenerator for Speed Skating Land Training Monitoring |
| title_sort | stable and durable triboelectric nanogenerator for speed skating land training monitoring |
| topic | intelligent sport wearable electronic devices triboelectric nanogenerator sport monitoring |
| url | https://www.mdpi.com/2079-9292/11/22/3717 |
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