Xiaotong Hu, Chunpeng Jiang, Bin Yang, Jingquan Liu
{"title":"A Visual-Tactile Coulping Mechanism Sensor For Real-Time Force Calibration","authors":"Xiaotong Hu, Chunpeng Jiang, Bin Yang, Jingquan Liu","doi":"10.1109/MEMS58180.2024.10439598","DOIUrl":null,"url":null,"abstract":"This paper reports a visual-tactile coupling mechanism sensor for force calibration in real time through integrating high sensitivity piezoresistive thin film sensor and high resolution visual-tactile sensing. The elastic layer combined with dispensing-printed flexible electrodes forms piezoresistive sensing units. It employs the spatial weighted fusion algorithm to couple displacement of markers as weights with forces measured by the piezoresistive sensing units. High resolution and improved measurement accuracy at small forces are realized, and the coefficient of variation of measured force is reduced, which contributes to enhancing reliability. The sensor will be served as a reliable data source for future human-machine interaction applications.","PeriodicalId":518439,"journal":{"name":"2024 IEEE 37th International Conference on Micro Electro Mechanical Systems (MEMS)","volume":"3 3","pages":"825-828"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2024 IEEE 37th International Conference on Micro Electro Mechanical Systems (MEMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEMS58180.2024.10439598","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper reports a visual-tactile coupling mechanism sensor for force calibration in real time through integrating high sensitivity piezoresistive thin film sensor and high resolution visual-tactile sensing. The elastic layer combined with dispensing-printed flexible electrodes forms piezoresistive sensing units. It employs the spatial weighted fusion algorithm to couple displacement of markers as weights with forces measured by the piezoresistive sensing units. High resolution and improved measurement accuracy at small forces are realized, and the coefficient of variation of measured force is reduced, which contributes to enhancing reliability. The sensor will be served as a reliable data source for future human-machine interaction applications.