Homin Park, DaeHan Ahn, M. Won, S. Son, Taejoon Park
{"title":"Poster: Are you driving?: non-intrusive driver detection using built-in smartphone sensors","authors":"Homin Park, DaeHan Ahn, M. Won, S. Son, Taejoon Park","doi":"10.1145/2639108.2642896","DOIUrl":null,"url":null,"abstract":"In this work, we address a fundamental problem of distinguishing the driver from passengers using a fusion of embedded sensors (accelerometers, gyroscopes, microphones, and magnetic sensors) in a smart phone. Compared with the state-of-the-art solutions, a key property of our solution is non-intrusiveness, i.e., enabling accurate driver phone detection without relying on any particular situations, events, and dedicated hardware devices. Our system only utilizes naturally arising driver motions, i.e., sitting down sideways, closing the vehicle door, and starting the vehicle, to determine whether the user enters the vehicle from left or right and whether the user is seated in the front or rear seats.","PeriodicalId":331897,"journal":{"name":"Proceedings of the 20th annual international conference on Mobile computing and networking","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 20th annual international conference on Mobile computing and networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2639108.2642896","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
In this work, we address a fundamental problem of distinguishing the driver from passengers using a fusion of embedded sensors (accelerometers, gyroscopes, microphones, and magnetic sensors) in a smart phone. Compared with the state-of-the-art solutions, a key property of our solution is non-intrusiveness, i.e., enabling accurate driver phone detection without relying on any particular situations, events, and dedicated hardware devices. Our system only utilizes naturally arising driver motions, i.e., sitting down sideways, closing the vehicle door, and starting the vehicle, to determine whether the user enters the vehicle from left or right and whether the user is seated in the front or rear seats.