Title :
Eigengaze - covert behavioral biometric exploiting visual attention characteristics
Author :
Fookes, Clinton ; Sridharan, Sridha
Author_Institution :
Image & Video Res. Lab., Queensland Univ. of Technol., Brisbane, QLD, Australia
Abstract :
It is possible for the visual attention characteristics of a person to be exploited 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 (sub-conscious) viewing behaviour. This paper presents a method to authenticate individuals using their covert viewing behaviour, thus yielding a unique behavioural biometric. A method to quantify the spatial and temporal patterns established by the viewer for their covert behaviour is proposed utilsing a principal component analysis technique called `eigenGaze´. Experimental results suggest that it is possible to capture the unique visual attention characteristics of a person to provide a simple behavioural biometric.
Keywords :
authorisation; behavioural sciences; biometrics (access control); eigenvalues and eigenfunctions; feature extraction; covert behavioral biometric; eigenGaze; individual authentication; individual identification; visual attention characteristics; Biometrics; Pixel; Visualization;
Conference_Titel :
Information Sciences Signal Processing and their Applications (ISSPA), 2010 10th International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-7165-2
DOI :
10.1109/ISSPA.2010.5605585