{"title":"A Study on Biometric Authentication based on Arm Sweep Action with Acceleration Sensor","authors":"Fuminori Okumura, Akira Kubota, Y. Hatori, Kenji Matsuot, Masayuki Hashimotot, Atsushi Koiket","doi":"10.1109/ISPACS.2006.364871","DOIUrl":null,"url":null,"abstract":"A new biometrics authentication method for cellular phones which has an advantage of simple and natural operation is proposed. The proposed method authenticates owner using acceleration signals obtained by an acceleration sensor embedded in the cellular phones during his arm sweep action. When the owner wants to unlock its security, he just needs to grasp and shake his cellular phone. The proposed method verifies owner's acceleration signals by using a DP-matching algorithm which can adapt fluctuations caused by different grip. Simulation results show that the proposed method can achieve the best equal error rate 5.0% for 22 testers","PeriodicalId":178644,"journal":{"name":"2006 International Symposium on Intelligent Signal Processing and Communications","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"69","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 International Symposium on Intelligent Signal Processing and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPACS.2006.364871","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 69
Abstract
A new biometrics authentication method for cellular phones which has an advantage of simple and natural operation is proposed. The proposed method authenticates owner using acceleration signals obtained by an acceleration sensor embedded in the cellular phones during his arm sweep action. When the owner wants to unlock its security, he just needs to grasp and shake his cellular phone. The proposed method verifies owner's acceleration signals by using a DP-matching algorithm which can adapt fluctuations caused by different grip. Simulation results show that the proposed method can achieve the best equal error rate 5.0% for 22 testers