GAZE TRAJECTORY AS A BIOMETRIC MODALITY

Farzin Deravi, Shivanand Guness

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 out were only done on a very small sample; more testing is required to confirm the preliminary findings of this paper.

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Paper Citation


in Harvard Style

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 - Volume 1: BIOSIGNALS, (BIOSTEC 2011) ISBN 978-989-8425-35-5, pages 335-341. DOI: 10.5220/0003275803350341


in Bibtex Style

@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 - Volume 1: BIOSIGNALS, (BIOSTEC 2011)},
year={2011},
pages={335-341},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003275803350341},
isbn={978-989-8425-35-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)
TI - GAZE TRAJECTORY AS A BIOMETRIC MODALITY
SN - 978-989-8425-35-5
AU - Deravi F.
AU - Guness S.
PY - 2011
SP - 335
EP - 341
DO - 10.5220/0003275803350341