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Self-Powered Non-Contact Motion Vector Sensor for Multifunctional Human-Machine Interface
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DOI：10.1002/smtd.202200588.png)
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Abstract
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Sensors as the significant units of the Internet of Things play an important role in the field of information interaction. Non-contact sensors have the advantages of flexible manipulation and a longer lifespan but it is constrained in motion detection due to their relative single detection function. Herein, a self-powered non-contact motion vector sensor (NMVS) for the multifunctional human-machine interface is reported. Based on the electrostatic induction effect, the motion vector is measured according to the output electrical signals from the non-contact triboelectric nanogenerator (NC-TENG). By simulation analysis and experimental validation, the output characteristics of NC-TENG dependence on structural and motion parameters are investigated in detail. On this basis, the resolution of NMVS is improved and exhibits for non-contact micro-vibration monitoring, rehabilitation gait detection, contactless smart lock, and the non-contact limit alarm. This work not only proposes an ingenious strategy for non-contact motion vector detection but also demonstrates the promising prospects of a multifunctional human- machine interface in intelligent electronics, health rehabilitation, and industrial inspection.
Keywords:
electrostatic induction
human-machine interface
motion vector sensors
non-contact sensors
triboelectric nanogenerators
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9.1
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