具有运动识别能力的自供电压电式可穿戴传感器

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Lei Sun;Lipeng He;Lintong Han;Baojun Yu;Jieqiong Lin
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引用次数: 0

摘要

本文介绍了一种具有运动识别能力的自供电压电可穿戴传感器(PWS),通过将其放置在鞋底中来收集人体运动过程中的步进能量。在该装置中,设计了两个模块来实现不同的功能。压电传感模块由矩形压电片与连接器组合而成。运动监测是通过四个矩形压电片的纵向位移拉伸来实现的。发电模块由圆形压电片和接触元件组成,圆形压电片由设计的接触块直接激励,使器件的电压输出最大化。经过实验测试发现,当样机处于45°安装角,接触块为表面接触时,样机的输出性能和传感性能最好。样机的最大输出功率为264.1 mW,作为传感器具有较高的灵敏度。借助MATLAB神经网络模块结合压电模块的输出信号,实现了运动识别的功能,准确率达到87.5%,为可穿戴设备在运动识别领域的发展提供了创新思路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-Powered Piezoelectric Wearable Sensor With Motion Recognition Capability
This article presents a self-powered piezoelectric wearable sensor (PWS) with motion recognition capability to harvest stepping energy during human movement by placing it in the sole. In this device, two modules are designed to achieve different functions. The piezoelectric sensing module consists of rectangular piezoelectric sheets combined with the connector. Monitoring of motion is achieved by the longitudinal displacement stretching of four rectangular piezoelectric sheets. The power generation module is composed of circular piezoelectric sheets and contact elements, and the circular piezoelectric sheets are directly excited by the designed contact blocks to maximize the voltage output of the device. After the experimental test, it was found that when the prototype is at the installation angle of 45° and the contact block is the surface contact, the output performance and sensing performance of the prototype are the best. The maximum output power of the prototype is 264.1 mW, and it has high sensitivity as a sensor. With the help of the MATLAB neural network module combined with the output signal of the piezoelectric module, the function of motion recognition is realized, and the accuracy is 87.5%, providing innovative ideas for the development of wearable devices in the field of motion recognition.
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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