{"title":"User authentication using wrist mounted inertial sensors: poster abstract","authors":"M. A. S. Mondol, I. Emi, S. Preum, J. Stankovic","doi":"10.1145/3055031.3055063","DOIUrl":null,"url":null,"abstract":"Smart wrist devices available today like smart watches and fitness trackers are usually enriched with inertial sensors such as accelerometers and gyroscopes that can be used to capture wrist motions. This opens an opportunity to use these devices for user authentication, exploiting an important biometric trait of a user: the wrist gestures during performing a signature in the air. In contrast to traditional authentication methods, the gestures can be captured while signing in the air freely with no need for any input media like keypads and signature capture devices. This paper presents result from a preliminary study that shows the potential of the proposed approach to be used for robust user authentication.","PeriodicalId":206082,"journal":{"name":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","volume":"188 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3055031.3055063","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Smart wrist devices available today like smart watches and fitness trackers are usually enriched with inertial sensors such as accelerometers and gyroscopes that can be used to capture wrist motions. This opens an opportunity to use these devices for user authentication, exploiting an important biometric trait of a user: the wrist gestures during performing a signature in the air. In contrast to traditional authentication methods, the gestures can be captured while signing in the air freely with no need for any input media like keypads and signature capture devices. This paper presents result from a preliminary study that shows the potential of the proposed approach to be used for robust user authentication.