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Biometric Touch Sensing: Seamlessly Augmenting Each Touch with Continuous Authentication

Published:05 November 2015Publication History

ABSTRACT

Current touch devices separate user authentication from regular interaction, for example by displaying modal login screens before device usage or prompting for in-app passwords, which interrupts the interaction flow. We propose biometric touch sensing, a new approach to representing touch events that enables commodity devices to seamlessly integrate authentication into interaction: From each touch, the touchscreen senses the 2D input coordinates and at the same time obtains biometric features that identify the user. Our approach makes authentication during interaction transparent to the user, yet ensures secure interaction at all times. To implement this on today's devices, our watch prototype Bioamp senses the impedance profile of the user's wrist and modulates a signal onto the user's body through skin using a periodic electric signal. This signal affects the capacitive values touchscreens measure upon touch, allowing devices to identify users on each touch. We integrate our approach into Windows 8 and discuss and demonstrate it in the context of various use cases, including access permissions and protecting private screen contents on personal and shared devices.

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      cover image ACM Conferences
      UIST '15: Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology
      November 2015
      686 pages
      ISBN:9781450337793
      DOI:10.1145/2807442

      Copyright © 2015 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Publication History

      • Published: 5 November 2015

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      UIST '15 Paper Acceptance Rate70of297submissions,24%Overall Acceptance Rate842of3,967submissions,21%

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