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EyeLogin - Calibration-free Authentication Method for Public Displays Using Eye Gaze

Published: 25 May 2021 Publication History

Abstract

The usage of interactive public displays has increased including the number of sensitive applications and, hence, the demand for user authentication methods. In this context, gaze-based authentication was shown to be effective and more secure, but significantly slower than touch- or gesture-based methods. We implement a calibration-free and fast authentication method for situated displays based on saccadic eye movements. In a user study (n = 10), we compare our new method with CueAuth from Khamis et al. (IMWUT’18), an authentication method based on smooth pursuit eye movements. The results show a significant improvement in accuracy from 82.94% to 95.88%. At the same time, we found that the entry speed can be increased enormously with our method, on average, 18.28s down to 5.12s, which is comparable to touch-based input.

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  • (2024)NearFetch: Enhancing Touch-Based Mobile Interaction on Public Displays with an Embedded Programmable NFC ArrayProceedings of the 26th International Conference on Multimodal Interaction10.1145/3678957.3685749(234-243)Online publication date: 4-Nov-2024
  • (2024)GazeLock: Gaze- and Lock Pattern-Based AuthenticationProceedings of the 30th ACM Symposium on Virtual Reality Software and Technology10.1145/3641825.3689520(1-2)Online publication date: 9-Oct-2024
  • (2024)DEyeAuth: A Secure Smartphone User Authentication System Integrating Eyelid Patterns With Eye GesturesIEEE Internet of Things Journal10.1109/JIOT.2024.340778011:18(30069-30083)Online publication date: 15-Sep-2024
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      cover image ACM Conferences
      ETRA '21 Short Papers: ACM Symposium on Eye Tracking Research and Applications
      May 2021
      232 pages
      ISBN:9781450383455
      DOI:10.1145/3448018
      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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      Published: 25 May 2021

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      Author Tags

      1. Authentication
      2. Calibration-free Eye Tracking
      3. Eye Tracking
      4. Gaze-based Interaction
      5. Public Displays

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      Cited By

      View all
      • (2024)NearFetch: Enhancing Touch-Based Mobile Interaction on Public Displays with an Embedded Programmable NFC ArrayProceedings of the 26th International Conference on Multimodal Interaction10.1145/3678957.3685749(234-243)Online publication date: 4-Nov-2024
      • (2024)GazeLock: Gaze- and Lock Pattern-Based AuthenticationProceedings of the 30th ACM Symposium on Virtual Reality Software and Technology10.1145/3641825.3689520(1-2)Online publication date: 9-Oct-2024
      • (2024)DEyeAuth: A Secure Smartphone User Authentication System Integrating Eyelid Patterns With Eye GesturesIEEE Internet of Things Journal10.1109/JIOT.2024.340778011:18(30069-30083)Online publication date: 15-Sep-2024
      • (2023)An Integrated Application of Motion Sensing and Eye Movement Tracking Techniques in Perceiving User Behaviors in a Large Display InteractionMachines10.3390/machines1101007311:1(73)Online publication date: 6-Jan-2023
      • (2022)A novel and smarter model to authenticate and identify people intelligently for security purposesTelecommunications Systems10.1007/s11235-022-00957-482:1(27-43)Online publication date: 6-Oct-2022

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