Research Progress of Self-Powered Gait Monitoring Sensor Based on Triboelectric Nanogenerator
Source abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Tactile and Sensory Interactions
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Strength and Conditioning Training, Beijing Sport University, Beijing 100084, China
Physical Education Department, Northeastern University, Shenyang 110819, China
College of Sciences, North China University of Technology, Beijing 100144, China
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
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