4.7 Review

Wearable triboelectric sensors for biomedical monitoring and human-machine interface

Journal

ISCIENCE
Volume 24, Issue 1, Pages -

Publisher

CELL PRESS
DOI: 10.1016/j.isci.2020.102027

Keywords

-

Funding

  1. National Natural Science Foundation of China (NSFC) [51902035, 52073037, 51572040]
  2. Natural Science Foundation of Chongqing [cstc2020jcyj-msxmX0807]
  3. Fundamental Research Funds for the Central Universities [2020CDJ-LHSLNSS-001, 2019CDXZWL001, 2020CDCGJ005]
  4. Chongqing Graduate Tutor Team Construction Project [ydstd1832]

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The growing advocacy of healthy and quality life has led to the emergence of wearable electronics. The triboelectric sensor (TS) has become a key technology in this field, capable of monitoring vital signs and movements of the human body. Advancements in biomedical monitoring over the past 5 years have focused on pulse, respiration, and pressure monitoring, with potential for novel human-machine interfaces (HMIs). Future trends in biomedical monitoring and HMIs based on TSs will continue to be explored.
A growing advocacy of healthy and quality life makes wearable electronics spring up. Triboelectric nanogenerator (TENG) has developed as an energy harvesting technology and as an advanced sensor technology in wearable electronics. The triboelectric sensor (TS) is sensitive to the mechanical motion and driven by the motion itself. Therefore, TS is capable of monitoring certain vital signs and kinds of movements of human body. Based on these monitoring, novel human-machine interfaces (HMIs) can be established. In this review, a comprehensive overview of some key progresses in this field over last 5 years are presented. Severalmain aspects of biomedical monitoring based on TSs are classified: pulse/cardiac/micromotion, respiration/airflow/vibration, and pressure/tactile/body movement. The major types of HMIs taking these biomedical monitoring as basis are introduced accordingly: eyemovement, voice/auditory, gesture/jointmovement, and touch/tactile based HMIs. Finally, the current limitations and future trends are put forward for biomedical monitoring and HMIs based on TSs.

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