Research Progress of Self-Powered Gait Monitoring Sensor Based on Triboelectric Nanogenerator

In recent years, technologies in the field of gait monitoring, such as gait parameter analysis, health monitoring, and medical diagnosis, have become increasingly mature. Gait monitoring technology has emerged as an effective means for disease prevention and diagnosis. Triboelectric nanogenerator technology not only overcomes the limitations of relying on external power sources and frequent battery replacements but also offers advantages such as low cost, lightweight, a wide range of material options, and ease of manufacturing. This review introduces the common working modes of triboelectric nanogenerators and summarizes recent advances in self-powered gait monitoring applications (e.g., gait analysis, fall detection, rehabilitation assessment, and identity recognition), and highlights persistent challenges such as wearability, washability of fabric-based devices, reliability, system integration, and miniaturization, along with proposed solutions.

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Publication Details

Journal
Applied Sciences
Published
2025-05-18
DOI
https://doi.org/10.3390/app15105637
Citations
2
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
1.35
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article

Research Progress of Self-Powered Gait Monitoring Sensor Based on Triboelectric Nanogenerator

Yupeng Mao, Aiguo Zhou, Tianming Zhao, Rui Zhang et al.
2 citations
Applied Sciences
Advanced Sensor and Energy Harvesting Materials
1.35
article

Research Progress of Self-Powered Gait Monitoring Sensor Based on Triboelectric Nanogenerator

Yupeng Mao, Aiguo Zhou, Tianming Zhao, Rui Zhang, Jack N. Liang
article en
2 citations

Abstract

In recent years, technologies in the field of gait monitoring, such as gait parameter analysis, health monitoring, and medical diagnosis, have become increasingly mature. Gait monitoring technology has emerged as an effective means for disease prevention and diagnosis. Triboelectric nanogenerator technology not only overcomes the limitations of relying on external power sources and frequent battery replacements but also offers advantages such as low cost, lightweight, a wide range of material options, and ease of manufacturing. This review introduces the common working modes of triboelectric nanogenerators and summarizes recent advances in self-powered gait monitoring applications (e.g., gait analysis, fall detection, rehabilitation assessment, and identity recognition), and highlights persistent challenges such as wearability, washability of fabric-based devices, reliability, system integration, and miniaturization, along with proposed solutions.

Applied SciencesVol. 15(10)
Shenyang Institute of Automation (CN), North China University of Technology (CN), Chinese Academy of Sciences (CN), Beijing Sport University (CN), Northeastern University (CN)
Openalex Percentile: Top 20%
Advanced Sensor and Energy Harvesting Materials
1.35
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Research Progress of Self-Powered Gait Monitoring Sensor Based on Triboelectric Nanogenerator — Yupeng Mao, Aiguo Zhou, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS