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Portable Mobile Gait Monitor System Based on Triboelectric Nanogenerator for Monitoring Gait and Powering Electronics

Author

Listed:
  • Yupeng Mao

    (Physical Education Department, Northeastern University, Shenyang 110819, China)

  • Yongsheng Zhu

    (Physical Education Department, Northeastern University, Shenyang 110819, China)

  • Tianming Zhao

    (College of Sciences, Northeastern University, Shenyang 110819, China)

  • Changjun Jia

    (Physical Education Department, Northeastern University, Shenyang 110819, China)

  • Xiao Wang

    (College of Physical Education, Chongqing University, Chongqing 400030, China)

  • Qi Wang

    (College of Sciences, Northeastern University, Shenyang 110819, China)

Abstract

A self-powered portable triboelectric nanogenerator (TENG) is used to collect biomechanical energy and monitor the human motion, which is the new development trend in portable devices. We have developed a self-powered portable triboelectric nanogenerator, which is used in human motion energy collection and monitoring mobile gait and stability capability. The materials involved are common PTFE and aluminum foil, acting as a frictional layer, which can output electrical signals based on the triboelectric effect. Moreover, 3D printing technology is used to build the optimized structure of the nanogenerator, which has significantly improved its performance. TENG is conveniently integrated with commercial sport shoes, monitoring the gait and stability of multiple human motions, being strategically placed at the immediate point of motion during the respective process. The presented equipment uses a low-frequency stabilized voltage output system to provide power for the wearable miniature electronic device, while stabilizing the voltage output, in order to effectively prevent voltage overload. The interdisciplinary research has provided more application prospects for nanogenerators regarding self-powered module device integration.

Suggested Citation

  • Yupeng Mao & Yongsheng Zhu & Tianming Zhao & Changjun Jia & Xiao Wang & Qi Wang, 2021. "Portable Mobile Gait Monitor System Based on Triboelectric Nanogenerator for Monitoring Gait and Powering Electronics," Energies, MDPI, vol. 14(16), pages 1-12, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:4996-:d:614445
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    References listed on IDEAS

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    1. Wenlin Liu & Zhao Wang & Gao Wang & Guanlin Liu & Jie Chen & Xianjie Pu & Yi Xi & Xue Wang & Hengyu Guo & Chenguo Hu & Zhong Lin Wang, 2019. "Integrated charge excitation triboelectric nanogenerator," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    2. Dae Sol Kong & Jae Yeon Han & Young Joon Ko & Sang Hyeok Park & Minbaek Lee & Jong Hoon Jung, 2021. "A Highly Efficient and Durable Kirigami Triboelectric Nanogenerator for Rotational Energy Harvesting," Energies, MDPI, vol. 14(4), pages 1-10, February.
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    5. Chaoyu Chen & Lei Zhang & Wenbo Ding & Lijun Chen & Jinkang Liu & Zhaoqun Du & Weidong Yu, 2020. "Woven Fabric Triboelectric Nanogenerator for Biomotion Energy Harvesting and as Self-Powered Gait-Recognizing Socks," Energies, MDPI, vol. 13(16), pages 1-10, August.
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    Cited by:

    1. Changjun Jia & Yongsheng Zhu & Fengxin Sun & Yuzhang Wen & Qi Wang & Ying Li & Yupeng Mao & Chongle Zhao, 2022. "Gas-Supported Triboelectric Nanogenerator Based on In Situ Gap-Generation Method for Biomechanical Energy Harvesting and Wearable Motion Monitoring," Sustainability, MDPI, vol. 14(21), pages 1-13, November.
    2. Yongsheng Zhu & Fengxin Sun & Changjun Jia & Chaorui Huang & Kuo Wang & Ying Li & Liping Chou & Yupeng Mao, 2022. "A 3D Printing Triboelectric Sensor for Gait Analysis and Virtual Control Based on Human–Computer Interaction and the Internet of Things," Sustainability, MDPI, vol. 14(17), pages 1-12, August.
    3. Nitin Satpute & Marek Iwaniec & Joanna Iwaniec & Manisha Mhetre & Swapnil Arawade & Siddharth Jabade & Marian Banaś, 2023. "Triboelectric Nanogenerator-Based Vibration Energy Harvester Using Bio-Inspired Microparticles and Mechanical Motion Amplification," Energies, MDPI, vol. 16(3), pages 1-22, January.

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