- Abstract:
-
Eye tracking devices have recently become increasingly popular as an interface between people and cons-umer-grade electronic devices. Due to the fact that human eyes are fast, responsive, and carry information unique to an individual, analyzing person’s gaze is particularly attractive for rapid biometric authentication. Unfortunately, previous proposals for gaze-based authentication systems either suffer from high error rates or requires long authentication times. We build on the fact that s...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Accepted Manuscript
- Files:
-
-
(pdf, 1.2MB)
-
- Publisher copy:
- 10.1145/3281745
-
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- Funding agency for:
- Sluganovic, I
- Publisher:
- Association for Computing Machinery Publisher's website
- Journal:
- ACM Transactions on Privacy and Security Journal website
- Volume:
- 22
- Issue:
- 1
- Pages:
- Article: 4
- Publication date:
- 2018-11-16
- Acceptance date:
- 2018-09-26
- DOI:
- EISSN:
-
2471-2574
- ISSN:
-
2471-2566
- Pubs id:
-
pubs:929588
- URN:
-
uri:4d97c9e0-5bcf-4fc2-81ca-c9072098f223
- UUID:
-
uuid:4d97c9e0-5bcf-4fc2-81ca-c9072098f223
- Local pid:
- pubs:929588
- Copyright holder:
- Sluganovic et al.
- Copyright date:
- 2018
- Notes:
-
Copyright © 2018 Copyright the authors. Publication rights licensed to ACM. This is the accepted manuscript version of the article. The final version is available online from Association for Computing Machinery at: https://doi.org/10.1145/3281745
Journal article
Analysis of reflexive eye movements for fast replay-resistant biometric authentication
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+ Engineering and Physical Sciences Research Council
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