Institute of Intelligent Flexible Mechatronics, Jiangsu University, Zhenjiang, 212013, P. R. China.
CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-Nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China.
Small Methods. 2022 Aug;6(8):e2200588. doi: 10.1002/smtd.202200588. Epub 2022 Jun 22.
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.
传感器作为物联网的重要单元，在信息交互领域发挥着重要作用。非接触式传感器具有操作灵活、寿命长的优点，但由于其相对单一的检测功能，在运动检测方面受到限制。本文报道了一种用于多功能人机界面的自供电非接触式运动矢量传感器（NMVS）。该传感器基于静电感应效应，根据非接触式摩擦纳米发电机（NC-TENG）输出的电信号来测量运动矢量。通过仿真分析和实验验证，详细研究了 NC-TENG 的输出特性对结构和运动参数的依赖性。在此基础上，提高了 NMVS 的分辨率，并展示了非接触式微振动监测、康复步态检测、非接触式智能锁和非接触式极限报警等功能。这项工作不仅提出了一种非接触式运动矢量检测的巧妙策略，而且还展示了多功能人机界面在智能电子、健康康复和工业检测等领域的广阔前景。
