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Authors: Farzin Deravi and Shivanand Guness

Affiliation: School of Engineering and Digital Arts and University of Kent, United Kingdom

Keyword(s): Biometrics, Gaze tracking.

Related Ontology Subjects/Areas/Topics: Applications ; Biomedical Engineering ; Biomedical Signal Processing ; Biometrics ; Biometrics and Pattern Recognition ; Multimedia ; Multimedia Signal Processing ; Pattern Recognition ; Telecommunications

Abstract: Could everybody be looking at the world in a different way? This paper explores the idea that every individual has a distinctive way of looking at the world and thus it may be possible to identify an individual by how they look at external stimuli. The paper reports on a project to assess the potential for a new biometric modality based on gaze. A gaze tracking system was used to collect gaze information of participants while viewing a series of images for about 5 milliseconds each. The data collected was firstly analysed to select the best suited features using three different algorithms: the Forward Feature Selection, the Backwards Feature Selection and the Branch and Bound Feature Selection algorithms. The performance of the proposed system was then tested with different amounts of data used for classifier training. From the preliminary experimental results obtained, it can be seen that gaze does have some potential as being used as a biometric modality. The experiments carried ou t were only done on a very small sample; more testing is required to confirm the preliminary findings of this paper. (More)

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Paper citation in several formats:
Deravi, F. and Guness, S. (2011). GAZE TRAJECTORY AS A BIOMETRIC MODALITY. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2011) - BIOSIGNALS; ISBN 978-989-8425-35-5; ISSN 2184-4305, SciTePress, pages 335-341. DOI: 10.5220/0003275803350341

@conference{biosignals11,
author={Farzin Deravi. and Shivanand Guness.},
title={GAZE TRAJECTORY AS A BIOMETRIC MODALITY},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2011) - BIOSIGNALS},
year={2011},
pages={335-341},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003275803350341},
isbn={978-989-8425-35-5},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2011) - BIOSIGNALS
TI - GAZE TRAJECTORY AS A BIOMETRIC MODALITY
SN - 978-989-8425-35-5
IS - 2184-4305
AU - Deravi, F.
AU - Guness, S.
PY - 2011
SP - 335
EP - 341
DO - 10.5220/0003275803350341
PB - SciTePress

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