TY - JOUR
T1 - Recent advances in triboelectric nanogenerator-based self-powered sensors for monitoring human body signals
AU - Ou-Yang, Wei
AU - Liu, Liqiang
AU - Xie, Mingjun
AU - Zhou, Siqian
AU - Hu, Xiaowei
AU - Wu, Han
AU - Tian, Zhiyu
AU - Chen, Xucong
AU - Zhu, Yirui
AU - Li, Jun
N1 - Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2024/2
Y1 - 2024/2
N2 - 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.
AB - 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.
KW - Human body monitoring
KW - Motion signals
KW - Physiological signals
KW - Self-powered sensor
KW - Triboelectric nanogenerator
UR - https://www.scopus.com/pages/publications/85179114070
U2 - 10.1016/j.nanoen.2023.109151
DO - 10.1016/j.nanoen.2023.109151
M3 - 文献综述
AN - SCOPUS:85179114070
SN - 2211-2855
VL - 120
JO - Nano Energy
JF - Nano Energy
M1 - 109151
ER -