Ipek Karakus, E. Kaplanoglu, Mehmed Özkan, Burak Güçlü
{"title":"Characterization of a bend sensor for neuroprosthetic applications","authors":"Ipek Karakus, E. Kaplanoglu, Mehmed Özkan, Burak Güçlü","doi":"10.1109/EBBT.2017.7956753","DOIUrl":null,"url":null,"abstract":"In this study, the static characterization of a bend sensor which is commonly used for various applications was performed. Electrical properties of the sensor was measured and analyzed on a robotic hand. Thus, the feasibility of the sensor for neuroprosthetic applications was discussed. The mean coefficient of determination (R2) is 0.98 and the mean hysteresis value is 9.1 %. The joint angles on a robotic hand were estimated, but the results were different from the actual values because of the sensor placement method.","PeriodicalId":293165,"journal":{"name":"2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EBBT.2017.7956753","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this study, the static characterization of a bend sensor which is commonly used for various applications was performed. Electrical properties of the sensor was measured and analyzed on a robotic hand. Thus, the feasibility of the sensor for neuroprosthetic applications was discussed. The mean coefficient of determination (R2) is 0.98 and the mean hysteresis value is 9.1 %. The joint angles on a robotic hand were estimated, but the results were different from the actual values because of the sensor placement method.
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