{"title":"A Broad Range Triboelectric Stiffness Sensor for Variable Inclusions Recognition","authors":"Ziyi Zhao, Zhentan Quan, Huaze Tang, Qinghao Xu, Hongfa Zhao, Zihan Wang, Ziwu Song, Shoujie Li, Ishara Dharmasena, Changsheng Wu, Wenbo Ding","doi":"10.1007/s40820-023-01201-7","DOIUrl":null,"url":null,"abstract":"<div><h2>Highlights</h2><div>\n \n <ul>\n <li>\n <p>We propose a broad range triboelectric sensor system employing elastic sponge and shielding layers, which can realize fast stiffness recognition within 1.0 s at a low cost.</p>\n </li>\n <li>\n <p>A novel algorithm is proposed for rapid stiffness identification by extracting signal characteristics, effectively reducing demand of computing resources.</p>\n </li>\n <li>\n <p>The proposed sensor system can identify the multi-layer stiffness structure of objects, enabling effective recognition of variable inclusions in soft objects with an accuracy of 99.7%.</p>\n </li>\n </ul>\n </div></div>","PeriodicalId":48779,"journal":{"name":"Nano-Micro Letters","volume":"15 1","pages":""},"PeriodicalIF":31.6000,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589179/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nano-Micro Letters","FirstCategoryId":"88","ListUrlMain":"https://link.springer.com/article/10.1007/s40820-023-01201-7","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Highlights
We propose a broad range triboelectric sensor system employing elastic sponge and shielding layers, which can realize fast stiffness recognition within 1.0 s at a low cost.
A novel algorithm is proposed for rapid stiffness identification by extracting signal characteristics, effectively reducing demand of computing resources.
The proposed sensor system can identify the multi-layer stiffness structure of objects, enabling effective recognition of variable inclusions in soft objects with an accuracy of 99.7%.
期刊介绍：
Nano-Micro Letters is a peer-reviewed, international, interdisciplinary and open-access journal that focus on science, experiments, engineering, technologies and applications of nano- or microscale structure and system in physics, chemistry, biology, material science, pharmacy and their expanding interfaces with at least one dimension ranging from a few sub-nanometers to a few hundreds of micrometers. Especially, emphasize the bottom-up approach in the length scale from nano to micro since the key for nanotechnology to reach industrial applications is to assemble, to modify, and to control nanostructure in micro scale. The aim is to provide a publishing platform crossing the boundaries, from nano to micro, and from science to technologies.
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