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Gaze Based Personal Identification
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Author(s): Clinton Fookes (Queensland University of Technology, Australia), Anthony Maeder (CSIRO ICT Centre, Australia), Sridha Sridharan (Queensland University of Technology, Australia)and George Mamic (Queensland University of Technology, Australia)
Copyright: 2010
Pages: 27
Source title:
Behavioral Biometrics for Human Identification: Intelligent Applications
Source Author(s)/Editor(s): Liang Wang (University of Bath, United Kingdom)and Xin Geng (Southeast University, China)
DOI: 10.4018/978-1-60566-725-6.ch012
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Abstract
This chapter describes the use of visual attention characteristics as a biometric for authentication or identification of individual viewers. The visual attention characteristics of a person can be easily monitored by tracking the gaze of a viewer during the presentation of a known or unknown visual scene. The positions and sequences of gaze locations during viewing may be determined by overt (conscious) or covert (subconscious) viewing behaviour. Methods to quantify the spatial and temporal patterns established by the viewer for both overt and covert behaviours are proposed. The former behaviour entails a simple PIN-like approach to develop an independent signature while the latter behaviour is captured through three proposed techniques: a principal component analysis technique (‘eigenGaze’); a linear discriminant analysis technique; and a fusion of distance measures. Experimental results suggest that both types of gaze behaviours can provide simple and effective biometrics for this application.
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