Toward a non-intrusive, physio- behavioral biometric for smartphones

Esther Vasiete, Yan Chen, I. Char, Tom Yeh, Vishal M. Patel, L. Davis, R. Chellappa
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引用次数: 13

Abstract

Biometric authentication relies on an individual's inner characteristics and traits. We propose an active authentication system on a mobile device that relies on two biometric modalities: 3D gestures and face recognition. The novelty of our approach is to combine 3D gesture and face recognition in a nonintrusive and unconstrained environment; the active authentication system is running in the background while the user is performing his/her main task.
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朝着智能手机非侵入式、生理-行为生物识别的方向发展
生物识别认证依赖于个人的内在特征和特征。我们提出了一种基于两种生物识别模式的移动设备主动认证系统:3D手势和面部识别。我们方法的新颖之处在于将3D手势和人脸识别结合在非侵入性和不受约束的环境中;当用户执行他/她的主要任务时,主动认证系统在后台运行。
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Modeling Gliding-based Target Selection for Blind Touchscreen Users. MobileHCI '21: 23rd International Conference on Mobile Human-Computer Interaction, Extented Abstracts, Toulouse & Virtual Event, France, 27 September 2021 - 1 October 2021 Mobile Manifestations of Alertness: Connecting Biological Rhythms with Patterns of Smartphone App Use. Designing a multi-input modality architecture for universal accessibility Monox: extensible gesture notation for mobile devices
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