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Research Article

Intelligent self-powered sensor based on triboelectric nanogenerator for take-off status monitoring in the sport of triple-jumping

Jiahui Xu1,2Xuelian Wei1,2Ruonan Li3Yapeng Shi1,2Yating Peng1Zhiyi Wu1,2,4( )Zhong Lin Wang1,2,4,5( )
Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China
College of Nanoscience and Technology, University of Chinese Academy of Science, Beijing 100049, China
School of Chemistry and Chemical Engineering, Guangxi University, Nanning 530004, China
CUSTech Institute of Technology, Wenzhou 325024, China
School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
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Graphical Abstract

An efficient wooden substrate-based self-powered take-off board sensor (TBS) is fabricated, which is sensitive to monitor the real-time movements of athletes in the sport of triple-jumping.


In the era of big data and the Internet of Things, the digital information of athletes is particularly significant in sports competitions. Here, an intelligent self-powered take-off board sensor (TBS) based on triboelectric nanogenerator (TENG) with a solid-wooden substrate is provided for precise detection of athletes’ take-off status in the sport of triple-jumping, which is sufficient for triple-jumping training judgment with a high accuracy of 1 mm. Meanwhile, a foul alarm system and a distance between the athlete’s foot and take-off line (GAP) measurement system are further developed to provide take-off data for athletes and referees. The induced charges are formed by the TBS during taking-off, and then the real-time exercise data is acquired and processed via the test program. This work presents a self-powered sports sensor for intelligent sports monitoring and promotes the application of TENG-based sensors in intelligent sports.

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12274_2022_4218_MOESM1_ESM.pdf (566.9 KB)
Nano Research
Pages 6483-6489
Cite this article:
Xu J, Wei X, Li R, et al. Intelligent self-powered sensor based on triboelectric nanogenerator for take-off status monitoring in the sport of triple-jumping. Nano Research, 2022, 15(7): 6483-6489.






Web of Science






Received: 11 November 2021
Revised: 29 January 2022
Accepted: 08 February 2022
Published: 23 April 2022
© Tsinghua University Press 2022