Wook Chang, Kee-Eung Kim, Hyunjeong Lee, Joonkee Cho, B. Soh, J. Shim, Gyunghye Yang, Sung-Jung Cho, Joonah Park
{"title":"Recognition of Grip-Patterns by Using Capacitive Touch Sensors","authors":"Wook Chang, Kee-Eung Kim, Hyunjeong Lee, Joonkee Cho, B. Soh, J. Shim, Gyunghye Yang, Sung-Jung Cho, Joonah Park","doi":"10.1109/ISIE.2006.296083","DOIUrl":null,"url":null,"abstract":"A novel and intuitive way of accessing applications of mobile devices is presented. The key idea is to use grip-pattern, which is naturally produced when a user tries to use the mobile device, as a clue to determine an application to be launched. To this end, a capacitive touch sensor system is carefully designed and installed underneath the housing of the mobile device to capture the information of the user's grip-pattern. The captured data is then recognized by a minimum distance classifier and a naive Bayes classifier. The recognition test is performed to validate the feasibility of the proposed user interface system","PeriodicalId":296467,"journal":{"name":"2006 IEEE International Symposium on Industrial Electronics","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"29","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE International Symposium on Industrial Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIE.2006.296083","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 29
Abstract
A novel and intuitive way of accessing applications of mobile devices is presented. The key idea is to use grip-pattern, which is naturally produced when a user tries to use the mobile device, as a clue to determine an application to be launched. To this end, a capacitive touch sensor system is carefully designed and installed underneath the housing of the mobile device to capture the information of the user's grip-pattern. The captured data is then recognized by a minimum distance classifier and a naive Bayes classifier. The recognition test is performed to validate the feasibility of the proposed user interface system
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