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Eye Movement Biometrics on Wearable Devices: What Are the Limits?

Published:07 May 2016Publication History

ABSTRACT

This paper presents a study of the perspectives of eye tracking on wearable devices and their use to perform eye movement biometrics. In such devices, the reduction in power consumption is very important, and can be partially achieved by reducing the size of the eye-tracking imaging sensor. In this preliminary work, we conduct two experiments: first we investigate the limits of the captured eye-image resolution to achieve acceptable eye-tracking precision, and then, we explore the effects from degradation in precision, simulated via the addition of dithering noise, on the applied scenario of eye movement biometrics. Our results provide detailed insights for the expected behavior of eye movement biometrics in resource-constraint systems.

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  1. Eye Movement Biometrics on Wearable Devices: What Are the Limits?

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          cover image ACM Conferences
          CHI EA '16: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems
          May 2016
          3954 pages
          ISBN:9781450340823
          DOI:10.1145/2851581

          Copyright © 2016 Owner/Author

          Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 7 May 2016

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          CHI EA '16 Paper Acceptance Rate1,000of5,000submissions,20%Overall Acceptance Rate6,164of23,696submissions,26%

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