Lei Sun;Lipeng He;Lintong Han;Baojun Yu;Jieqiong Lin
{"title":"具有运动识别能力的自供电压电式可穿戴传感器","authors":"Lei Sun;Lipeng He;Lintong Han;Baojun Yu;Jieqiong Lin","doi":"10.1109/JSEN.2025.3549451","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 9","pages":"14760-14769"},"PeriodicalIF":4.3000,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Self-Powered Piezoelectric Wearable Sensor With Motion Recognition Capability\",\"authors\":\"Lei Sun;Lipeng He;Lintong Han;Baojun Yu;Jieqiong Lin\",\"doi\":\"10.1109/JSEN.2025.3549451\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":447,\"journal\":{\"name\":\"IEEE Sensors Journal\",\"volume\":\"25 9\",\"pages\":\"14760-14769\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Sensors Journal\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10945542/\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10945542/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
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.
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:
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-Sensors in Industrial Practice