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An implementation of eye movement-driven biometrics in virtual reality

Authors:

Dillon Lohr,

Samuel-Hunter Berndt,

Oleg KomogortsevAuthors Info & Claims

ETRA '18: Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications

Article No.: 98, Pages 1 - 3

https://doi.org/10.1145/3204493.3208333

Published: 14 June 2018 Publication History

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Abstract

As eye tracking can reduce the computational burden of virtual reality devices through a technique known as foveated rendering, we believe not only that eye tracking will be implemented in all virtual reality devices, but that eye tracking biometrics will become the standard method of authentication in virtual reality. Thus, we have created a real-time eye movement-driven authentication system for virtual reality devices. In this work, we describe the architecture of the system and provide a specific implementation that is done using the FOVE head-mounted display. We end with an exploration into future topics of research to spur thought and discussion.

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References

[1]

Roman Bednarik, Tomi Kinnunen, Andrei Mihaila, and Pasi Fränti. 2005. Eye-movements as a biometric. In Scandinavian conference on image analysis. Springer, 780--789.

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Lee Friedman, Ioannis Rigas, Evgeny Abdulin, and Oleg Komogortsev. 2018. A Novel Evaluation of Two Related, and Two Independent Algorithms for Eye Movement Classification during Reading. Journal of Behavioral Research Methods (2018). In press.

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Lee Friedman, Ioannis Rigas, Mark S Nixon, and Oleg V Komogortsev. 2016. Method to Assess the Temporal Persistence of Potential Biometric Features: Application to Oculomotor, and Gait-Related Databases. arXiv preprint arXiv:1609.03948 (2016).

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Corey D. Holland and Oleg V. Komogortsev. 2014. Software Framework for an Ocular Biometric System. In Proceedings of the Symposium on Eye Tracking Research and Applications (ETRA '14). ACM, New York, NY, USA, 365--366.

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Ioannis Rigas, Lee Friedman, and Oleg Komogortsev. 2018. Study of an Extensive Set of Eye Movement Features: Extraction Methods and Statistical Analysis. Journal of Eye Movement Research 11, 1 (2018). https://bop.unibe.ch/JEMR/article/view/3795

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Cited By

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Hallal LRhinelander JVenkat R(2024)Recent Trends of Authentication Methods in Extended Reality: A SurveyApplied System Innovation10.3390/asi70300457:3(45)Online publication date: 28-May-2024
https://doi.org/10.3390/asi7030045
Melnyk KFriedman LKomogortsev O(2024)What can entropy metrics tell us about the characteristics of ocular fixation trajectories?PLOS ONE10.1371/journal.pone.029182319:1(e0291823)Online publication date: 2-Jan-2024
https://doi.org/10.1371/journal.pone.0291823
Corbett MShang JJi B(2024)GazePair: Efficient Pairing of Augmented Reality Devices Using Gaze TrackingIEEE Transactions on Mobile Computing10.1109/TMC.2023.325584123:3(2407-2421)Online publication date: Mar-2024
https://doi.org/10.1109/TMC.2023.3255841
Show More Cited By

Index Terms

An implementation of eye movement-driven biometrics in virtual reality
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Virtual reality
2. Security and privacy
  1. Security services
    1. Authentication
      1. Biometrics

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Published In

ETRA '18: Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications

June 2018

595 pages

ISBN:9781450357067

DOI:10.1145/3204493

Conference Chairs:
Bonita Sharif
Youngstown State University
,
Krzysztof Krejtz
University of Social Sciences and Humanities, Warsaw, Poland

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: 14 June 2018

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ETRA '18

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ETRA '18: 2018 Symposium on Eye Tracking Research and Applications

June 14 - 17, 2018

Warsaw, Poland

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Overall Acceptance Rate 69 of 137 submissions, 50%

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Cited By

View all

Hallal LRhinelander JVenkat R(2024)Recent Trends of Authentication Methods in Extended Reality: A SurveyApplied System Innovation10.3390/asi70300457:3(45)Online publication date: 28-May-2024
https://doi.org/10.3390/asi7030045
Melnyk KFriedman LKomogortsev O(2024)What can entropy metrics tell us about the characteristics of ocular fixation trajectories?PLOS ONE10.1371/journal.pone.029182319:1(e0291823)Online publication date: 2-Jan-2024
https://doi.org/10.1371/journal.pone.0291823
Corbett MShang JJi B(2024)GazePair: Efficient Pairing of Augmented Reality Devices Using Gaze TrackingIEEE Transactions on Mobile Computing10.1109/TMC.2023.325584123:3(2407-2421)Online publication date: Mar-2024
https://doi.org/10.1109/TMC.2023.3255841
D’Amelio APatania SBursic SCuculo VBoccignone G(2023)Using Gaze for Behavioural BiometricsSensors10.3390/s2303126223:3(1262)Online publication date: 22-Jan-2023
https://doi.org/10.3390/s23031262
Lohr DJohnson SAziz SKomogortsev O(2023)Demonstrating Eye Movement Biometrics in Virtual RealityProceedings of the 2023 Symposium on Eye Tracking Research and Applications10.1145/3588015.3590109(1-2)Online publication date: 30-May-2023
https://dl.acm.org/doi/10.1145/3588015.3590109
Li PPan LChen FHoang TWang R(2023)TOTPAuth: A Time-based One Time Password Authentication Proof-of-Concept against Metaverse User Identity Theft2023 IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom)10.1109/MetaCom57706.2023.00117(662-665)Online publication date: Jun-2023
https://doi.org/10.1109/MetaCom57706.2023.00117
Heruatmadja CMeyliana Hidayanto APrabowo H(2023)Biometric as Secure Authentication for Virtual Reality Environment: A Systematic Literature Review2023 International Conference for Advancement in Technology (ICONAT)10.1109/ICONAT57137.2023.10080713(1-7)Online publication date: 24-Jan-2023
https://doi.org/10.1109/ICONAT57137.2023.10080713
Adhanom IMacNeilage PFolmer E(2023)Eye Tracking in Virtual Reality: a Broad Review of Applications and ChallengesVirtual Reality10.1007/s10055-022-00738-z27:2(1481-1505)Online publication date: 18-Jan-2023
https://doi.org/10.1007/s10055-022-00738-z
Asish SKulshreshth ABorst C(2022)User Identification Utilizing Minimal Eye-Gaze Features in Virtual Reality ApplicationsVirtual Worlds10.3390/virtualworlds10100041:1(42-61)Online publication date: 6-Sep-2022
https://doi.org/10.3390/virtualworlds1010004
Veeraiah VKumar KLalitha Kumari PAhamad SBansal RGupta A(2022)Application of Biometric System to Enhance the Security in Virtual World2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)10.1109/ICACITE53722.2022.9823850(719-723)Online publication date: 28-Apr-2022
https://doi.org/10.1109/ICACITE53722.2022.9823850
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