Nanogenerator-Based Wireless Intelligent Motion Correction System for Storing Mechanical Energy of Human Motion

Yupeng Mao, Fengxin Sun, Yongsheng Zhu, Changjun Jia, Tianming Zhao, Chaorui Huang, Caixia Li, Ning Ba, Tongtong Che and Song Chen
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Yupeng Mao: Physical Education Department, Northeastern University, Shenyang 110819, China
Fengxin Sun: Physical Education Department, Northeastern University, Shenyang 110819, China
Yongsheng Zhu: Physical Education Department, Northeastern University, Shenyang 110819, China
Changjun Jia: Physical Education Department, Northeastern University, Shenyang 110819, China
Tianming Zhao: College of Sciences, Northeastern University, Shenyang 110819, China
Chaorui Huang: College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
Caixia Li: Physical Education Department, Northeastern University, Shenyang 110819, China
Ning Ba: Department of Sports Science and Physical Education, Tsinghua University, Beijing 100084, China
Tongtong Che: Capital University of Physical Education and Sport, Beijing 100191, China
Song Chen: Physical Education Department, Northeastern University, Shenyang 110819, China

Sustainability, 2022, vol. 14, issue 11, 1-12

Abstract: As it is urgently needed to address the energy consumption and health care problems caused by population growth, the field of sustainable energy collection and storage equipment as well as intelligent health care for monitoring human motion behavior has received wide attention and achieved rapid development. However, the portable intelligent systems that integrate them have not been widely discussed. In this work, we propose a design of a nanogenerator-based wireless intelligent motion correction system, combining triboelectric nanogenerator technology with wireless intelligent host computer signal processing and visualization systems. Under the condition of no external power supply, a noninvasive triboelectric nanogenerator (FL-TENG) sensor integrated system stores the mechanical energy due to human movement behavior and drives wireless micro-electronic devices to realize the human–computer interaction application of the intelligent system. In the conducted test, the reported instantaneous output of an ordinary clap action was around 241V. For a variety of physical exercise types being monitored, it can accurately determine human movement behavior and perform error correction and scoring for movement techniques. Additionally, using hydrogel as an electrode improves the service life and stability of the device. Therefore, this flexible and convenient design concept is beneficial to the development and utilization of sustainable energy and sports activities. In addition, it extends the application prospects of FL-TENG in self-powered sensing systems.

Keywords: nanogenerator-based sensor; sustainable energy storage; intelligent motion correction system (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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