Silvio Barra, G. Fenu, M. De Marsico, Aniello Castiglione, M. Nappi
{"title":"你允许我接这个电话吗?","authors":"Silvio Barra, G. Fenu, M. De Marsico, Aniello Castiglione, M. Nappi","doi":"10.1109/IWBF.2018.8401563","DOIUrl":null,"url":null,"abstract":"The new frontier of biometrie authentication exploits wearable sensors. At present, there is no need of special equipment. Both cameras of increasing resolution, and MEMS-based sensors (Micro Electro-Mechanical Systems) are ubiquitously embedded in everyday mobile communication devices, especially smartphones. This makes their use economically attractive, and the investigation of the new provided possibilities increasingly widespread. The aim of the present paper is to demonstrate the possibility to control the access to a smartphone by recording and processing the dynamic signals produced by the simple gesture of lifting the phone, possibly in connection with further biometric information provided by ear recognition. In this respect, it continues and extends a previous work, by performing new experiments on a more challenging dataset.","PeriodicalId":259849,"journal":{"name":"2018 International Workshop on Biometrics and Forensics (IWBF)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Have you permission to answer this phone?\",\"authors\":\"Silvio Barra, G. Fenu, M. De Marsico, Aniello Castiglione, M. Nappi\",\"doi\":\"10.1109/IWBF.2018.8401563\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The new frontier of biometrie authentication exploits wearable sensors. At present, there is no need of special equipment. Both cameras of increasing resolution, and MEMS-based sensors (Micro Electro-Mechanical Systems) are ubiquitously embedded in everyday mobile communication devices, especially smartphones. This makes their use economically attractive, and the investigation of the new provided possibilities increasingly widespread. The aim of the present paper is to demonstrate the possibility to control the access to a smartphone by recording and processing the dynamic signals produced by the simple gesture of lifting the phone, possibly in connection with further biometric information provided by ear recognition. In this respect, it continues and extends a previous work, by performing new experiments on a more challenging dataset.\",\"PeriodicalId\":259849,\"journal\":{\"name\":\"2018 International Workshop on Biometrics and Forensics (IWBF)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Workshop on Biometrics and Forensics (IWBF)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWBF.2018.8401563\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Workshop on Biometrics and Forensics (IWBF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWBF.2018.8401563","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The new frontier of biometrie authentication exploits wearable sensors. At present, there is no need of special equipment. Both cameras of increasing resolution, and MEMS-based sensors (Micro Electro-Mechanical Systems) are ubiquitously embedded in everyday mobile communication devices, especially smartphones. This makes their use economically attractive, and the investigation of the new provided possibilities increasingly widespread. The aim of the present paper is to demonstrate the possibility to control the access to a smartphone by recording and processing the dynamic signals produced by the simple gesture of lifting the phone, possibly in connection with further biometric information provided by ear recognition. In this respect, it continues and extends a previous work, by performing new experiments on a more challenging dataset.