基于静电感应的非接触式手势解锁技术研究

doi:10.3901/JME.2024.11.309

机械工程学报 ›› 2024, Vol. 60 ›› Issue (11): 309-317.doi: 10.3901/JME.2024.11.309

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基于静电感应的非接触式手势解锁技术研究

曹杰^1,2, 王政², 花镜¹, 张忠强¹, 程广贵¹, 丁建宁¹

1. 江苏大学智能柔性机械电子研究院镇江 212013;
2. 中国科学院北京纳米能源与系统研究所北京 100083

收稿日期:2023-03-09 修回日期:2023-11-11 出版日期:2024-06-05 发布日期:2024-08-02
作者简介:曹杰,男,1995年出生,博士研究生。主要研究方向为基于TENG的微纳能量收集、自供能传感器/系统及智能电子器件。E-mail:2112003010@stmail.ujs.edu.cn
王政,男,1996年出生,硕士研究生。主要研究方向为基于TENG的智能电子器件及应用。E-mail:wz857479884@outlook.com
花镜,男,1989年出生,博士,副教授。主要研究方向为摩擦学与能量捕获。E-mail:1000005892@ujs.edu.cn
张忠强,男,1981年出生,博士,教授,博士研究生导师。主要研究方向为新能源技术与装备,微纳米力学。E-mail:zhangzq@ujs.edu.cn
程广贵(通信作者),男,1979年出生,博士,教授,博士研究生导师。主要研究方向为表界面科学与技术、软体机器人、柔性电子器件和自供能传感器/系统。E-mail:ggcheng@ujs.edu.cn
丁建宁,男,1966年出生,博士,教授,博士研究生导师。主要研究方向为柔性机电一体化、新能源装备及功能型器件和柔性传感器及致动器。E-mail:dingjn@ujs.edu.cn
基金资助:
江苏省研究生科研创新(KYCX21_3327)、国家自然科学基金(52275191)和国家自然科学基金重大研究计划集成(92248301)资助项目。

Research on Contactless Gesture Unlocking Technology Based on Electrostatic Induction

CAO Jie^1,2, WANG Zheng², HUA Jing¹, ZHANG Zhongqiang¹, CHENG Guanggui¹, DING Jianning¹

1. Institute of Intelligent Flexible Mechatronics, Jiangsu University, Zhenjiang 212013;
2. Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083

Received:2023-03-09 Revised:2023-11-11 Online:2024-06-05 Published:2024-08-02

摘要/Abstract

摘要： 摩擦纳米发电机(Triboelectric nanogenerator, TENG)作为一种新兴的发电技术在高熵能源收集、可穿戴电子器件以及自驱动传感系统中取得了重要的发展。但是由于TENG固有的高阻抗特性，高开路电压(kV)和低短路电流(μA)使得TENG的输出表征和信号采集高度依赖昂贵的仪器/设备，与此同时较高的信号处理复杂度限制了TENG在物联网中的实际应用。提出了一种简单有效的将TENG信号用于智能监测的信号采集和处理方法，并基于此设计制作了非接触式智能手势密码锁。以单电极式TENG为信号触发端，通过基于金属氧化物半导体场效应晶体管(Metal-oxide-semiconductor field-effect transistor, MOSFET)的唤醒电路设计实现TENG触发状态的识别，然后利用微控制器(Microcontroller unit, MCU)读取MOSFET的通断状态并处理，接着将MCU与上位机程序建立通信，最后利用上位机中的信号处理程序实现非接触智能密码锁的效果演示。该工作为TENG用于智能监测提供了实践借鉴，推动了TENG在物联网、人工智能等领域的商业化应用。

关键词: 摩擦纳米发电机, 信号处理, 智能监测, 物联网, 摩擦电子学

Abstract: As an emerging power generation technology, triboelectric nanogenerator (TENG) has made great progress in high entropy energy harvesting, wearable electronics and self-driven sensing systems. However, due to the inherent high impedance characteristics of TENG, high open-circuit voltage (kV) and low short-circuit current (μA) make the output characterization and signal acquisition of TENG highly dependent on expensive instruments/equipment. At the same time, the high signal processing complexity limits the practical application of TENG on the Internet of Things. This work proposes a simple and effective signal acquisition and processing method for using TENG signals for intelligent monitoring, and based on this, a contactless intelligent gesture password lock is designed and manufactured. Using the single-electrode mode TENG as the signal trigger terminal, the wake-up circuit based on Metal-Oxide-Semiconductor Field-Effect Transistor (MOSFET) is designed to realize the identification of the TENG trigger state. The microcontroller unit (MCU) is then used to read the on/off state of the MOSFET and process it, followed by establishing communication between the MCU and the upper computer program. Finally, the signal processing program in the upper computer is used to demonstrate the effect of the contactless intelligent gesture password lock. This work provides a practical reference for the use of TENG in intelligent monitoring and promotes the commercial application of TENG in the fields of Internet of Things (IoTs) and Artificial Intelligence.

Key words: triboelectric nanogenerator, signal processing, intelligent monitoring, internet of things, tribotronics

中图分类号:

TH39
TH85

曹杰, 王政, 花镜, 张忠强, 程广贵, 丁建宁. 基于静电感应的非接触式手势解锁技术研究[J]. 机械工程学报, 2024, 60(11): 309-317.

CAO Jie, WANG Zheng, HUA Jing, ZHANG Zhongqiang, CHENG Guanggui, DING Jianning. Research on Contactless Gesture Unlocking Technology Based on Electrostatic Induction[J]. Journal of Mechanical Engineering, 2024, 60(11): 309-317.

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基于静电感应的非接触式手势解锁技术研究

Research on Contactless Gesture Unlocking Technology Based on Electrostatic Induction

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