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A Study on Gaze-Controlled PIN Input with Biometric Data Analysis

Published: 13 September 2018 Publication History

Abstract

Common methods for checking a user's identity (e.g., passwords) do not consider personal elements characterizing a subject. In this paper, we present a study on the exploitation of eye information for biometric purposes. Data is acquired when the user enters a PIN (Personal Identification Number) through the gaze, by means of an on-screen virtual numeric keypad. Both identification (i.e., the recognition of a subject in a group) and verification (i.e., the confirmation of an individual's claimed identity) are considered. Using machine learning algorithms, we performed two kinds of analysis, one for the entire PIN sequence and one for each key (i.e., digit) in the series. Overall, the achieved results can be considered satisfying in the context of "soft biometrics", which does not require very high success rates and is meant to be used along with other identification or verification techniques-in our case, the PIN itself-as an additional security level.

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Cited By

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  • (2022)”Your Eyes Tell You Have Used This Password Before”: Identifying Password Reuse from Gaze and Keystroke DynamicsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517531(1-16)Online publication date: 29-Apr-2022
  • (2022)Gaze-Based Biometrics From Free Observation of Moving ElementsIEEE Transactions on Biometrics, Behavior, and Identity Science10.1109/TBIOM.2021.31307984:1(85-96)Online publication date: Jan-2022
  • (2021)GazeMeter: Exploring the Usage of Gaze Behaviour to Enhance Password AssessmentsACM Symposium on Eye Tracking Research and Applications10.1145/3448017.3457384(1-12)Online publication date: 25-May-2021
  • Show More Cited By

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cover image ACM Other conferences
CompSysTech '18: Proceedings of the 19th International Conference on Computer Systems and Technologies
September 2018
206 pages
ISBN:9781450364256
DOI:10.1145/3274005
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 ACM 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]

In-Cooperation

  • ERSVB: EURORISC SYSTEMS - Varna, Bulgaria
  • FOSEUB: FEDERATION OF THE SCIENTIFIC ENGINEERING UNIONS - Bulgaria
  • UORB: University of Ruse, Bulgaria
  • TECHUVB: Technical University of Varna, Bulgaria

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 September 2018

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Author Tags

  1. Eye tracking
  2. gaze communication
  3. soft biometrics

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  • Research-article
  • Research
  • Refereed limited

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CompSysTech'18

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Overall Acceptance Rate 241 of 492 submissions, 49%

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Cited By

View all
  • (2022)”Your Eyes Tell You Have Used This Password Before”: Identifying Password Reuse from Gaze and Keystroke DynamicsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517531(1-16)Online publication date: 29-Apr-2022
  • (2022)Gaze-Based Biometrics From Free Observation of Moving ElementsIEEE Transactions on Biometrics, Behavior, and Identity Science10.1109/TBIOM.2021.31307984:1(85-96)Online publication date: Jan-2022
  • (2021)GazeMeter: Exploring the Usage of Gaze Behaviour to Enhance Password AssessmentsACM Symposium on Eye Tracking Research and Applications10.1145/3448017.3457384(1-12)Online publication date: 25-May-2021
  • (2021)FingerPIN: An Authentication Mechanism Integrating Fingerprints and Personal Identification NumbersComputer Vision and Image Processing10.1007/978-981-16-1086-8_44(500-511)Online publication date: 26-Mar-2021
  • (2020)GazeLockPatterns: Comparing Authentication Using Gaze and Touch for Entering Lock PatternsACM Symposium on Eye Tracking Research and Applications10.1145/3379156.3391371(1-6)Online publication date: 2-Jun-2020
  • (2020)The Role of Eye Gaze in Security and Privacy Applications: Survey and Future HCI Research DirectionsProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376840(1-21)Online publication date: 21-Apr-2020
  • (2019)TouchGazePath: Multimodal Interaction with Touch and Gaze Path for Secure Yet Efficient PIN Entry2019 International Conference on Multimodal Interaction10.1145/3340555.3353734(329-338)Online publication date: 14-Oct-2019
  • (2019)Strengthening Security in Industrial Settings: A Study on Gaze-Based Biometrics through Free Observation of Static Images2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)10.1109/ETFA.2019.8868961(1273-1277)Online publication date: 10-Sep-2019

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