Eye-Movements as a biometric

Authors:
Roman Bednarik;Tomi Kinnunen;Andrei Mihaila;Pasi Fränti
Affiliations:
Department of Computer Science, University of Joensuu, Joensuu, Finland;Department of Computer Science, University of Joensuu, Joensuu, Finland;Department of Computer Science, University of Joensuu, Joensuu, Finland;Department of Computer Science, University of Joensuu, Joensuu, Finland
Venue:
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Year:
2005

Citing 7
Cited 6

Detecting Faces in Images: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Signal Processing: A Practical Approach

Digital Signal Processing: A Practical Approach
Face Recognition: Features Versus Templates

IEEE Transactions on Pattern Analysis and Machine Intelligence
Person Identification Using Multiple Cues

IEEE Transactions on Pattern Analysis and Machine Intelligence
Information fusion in biometrics

Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
Pattern Classification (2nd Edition)

Pattern Classification (2nd Edition)
Guide to Biometrics

Guide to Biometrics

Towards task-independent person authentication using eye movement signals

Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Biometric identification based on the eye movements and graph matching techniques

Pattern Recognition Letters
What do you want to do next: a novel approach for intent prediction in gaze-based interaction

Proceedings of the Symposium on Eye Tracking Research and Applications
Biometric verification of subjects using saccade eye movements

International Journal of Biometrics
Biometric verification of a subject through eye movements

Computers in Biology and Medicine
Enhancing learning algorithms to support data with short sequence features by automated feature discovery

Knowledge-Based Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

We propose the use of eye-movements as a biometric. A case study investigating potentials of eye-movement data for biometric purposes was conducted. Twelve participants' eye-movements were measured during still and moving objects viewing. The measured data includes pupil sizes and their dynamics, gaze velocities and distances of infrared reflections of the eyes. For still object viewing of 1 second duration, identification rate of 60 % can be obtained by using dynamics of pupil diameters. We suggest an integration of the eye-movement-based identification into general video-based biometric systems.