Journal article
Analysis of reflexive eye movements for fast replay-resistant biometric authentication
- Abstract:
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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...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
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(Accepted manuscript, pdf, 1.2MB)
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- Publisher copy:
- 10.1145/3281745
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Authors
Funding
+ Engineering and Physical Sciences Research Council
More from this funder
Funding agency for:
Sluganovic, I
Grant:
doctoral studentship
+ Scatcherd
European Scholarship
More from this funder
Funding agency for:
Sluganovic, I
Grant:
doctoral studentship
+ Frankopan Fund
More from this funder
Funding agency for:
Sluganovic, I
Grant:
doctoral studentship
Bibliographic Details
- Publisher:
- Association for Computing Machinery Publisher's website
- Journal:
- ACM Transactions on Privacy and Security Journal website
- Volume:
- 22
- Issue:
- 1
- Article number:
- 4
- Publication date:
- 2018-11-16
- Acceptance date:
- 2018-09-26
- DOI:
- EISSN:
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2471-2574
- ISSN:
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2471-2566
- Source identifiers:
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929588
Item Description
- Keywords:
- Pubs id:
-
pubs:929588
- UUID:
-
uuid:4d97c9e0-5bcf-4fc2-81ca-c9072098f223
- Local pid:
- pubs:929588
- Deposit date:
- 2018-10-19
Terms of use
- 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
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