摩擦电效应
纳米发生器
可穿戴计算机
可穿戴技术
障碍物
能量收集
信号(编程语言)
灵敏度(控制系统)
计算机科学
领域(数学)
功率(物理)
人体运动
电气工程
材料科学
电子工程
运动(物理)
嵌入式系统
工程类
人工智能
电压
复合材料
物理
程序设计语言
法学
纯数学
量子力学
数学
政治学
作者
Wei Ou‐Yang,Liqiang Liu,Mingjun Xie,Siqian Zhou,Xiaowei Hu,Han Wu,Zhiyu Tian,Xucong Chen,Yirui Zhu,Jun Li
出处
期刊:Nano Energy
[Elsevier BV]
日期:2023-12-01
卷期号:120: 109151-109151
被引量:46
标识
DOI:10.1016/j.nanoen.2023.109151
摘要
Recently, there is a growing emphasis on the utilization of wearable devices for monitoring various aspects of human body movement. However, a persistent obstacle in the way of their widespread adoption is the requirement for an external power to keep them operational. Triboelectric nanogenerator (TENG), an emerging power technology, can convert low-frequency mechanical energy into real-time electrical signals and obtain corresponding mechanical motion characteristics, enabling self-powered human body signal monitoring with advantages of compact size, easy preparation, and low cost. It offers a promising avenue for advancing the field of human motion monitoring without an external power. In this review, we systematically review the latest progress of TENG-based human body signals sensors (HBSSs) in terms of working mechanism, design principles, function integrations and monitoring accuracy, as well as the corresponding TENG based wearable device advantages in sensitivity, stability and wearing comfort. According to the monitoring field, TENG-based HBSSs can be divided into two kinds of researching directions, which contain the basic physiological signals monitoring and motion signals monitoring. Some representative applications in these two aspects are summarized to highlight the superiorities of TENG-based HBSSs. Further, the current challenges and promising solutions for future TENG-based HBSS are outlined, including sensitivity, stability, and wearing comfort, which will better steer new researchers toward a deeper understanding and exploration of TENG for the self-powered sensing technology.
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