Ryo Izuta, Kazuya Murao, T. Terada, T. Iso, H. Inamura, M. Tsukamoto
{"title":"Screen Unlocking Method using Behavioral Characteristics when Taking Mobile Phone from Pocket","authors":"Ryo Izuta, Kazuya Murao, T. Terada, T. Iso, H. Inamura, M. Tsukamoto","doi":"10.1145/3007120.3007162","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a screen unlocking system using an accelerometer and pressure sensor arrays mounted on a mobile phone as casual identification. The proposed system focuses on the user's behavioral characteristics when taking their mobile phone from their pocket and the pressure distribution when gripping the mobile phone during this motion. In the evaluation experiment, 12 out of 30 taking-out actions succeed to unlock the mobile phone screen, and our system achieved 0.43 FAR after 18 templates had been trained.","PeriodicalId":394387,"journal":{"name":"Proceedings of the 14th International Conference on Advances in Mobile Computing and Multi Media","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 14th International Conference on Advances in Mobile Computing and Multi Media","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3007120.3007162","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
In this paper, we propose a screen unlocking system using an accelerometer and pressure sensor arrays mounted on a mobile phone as casual identification. The proposed system focuses on the user's behavioral characteristics when taking their mobile phone from their pocket and the pressure distribution when gripping the mobile phone during this motion. In the evaluation experiment, 12 out of 30 taking-out actions succeed to unlock the mobile phone screen, and our system achieved 0.43 FAR after 18 templates had been trained.