Gaze based user authentication for personal computer applications
Maeder, Anthony J., Fookes, Clinton B., & Sridharan, Sridha (2004) Gaze based user authentication for personal computer applications. In International Symposium on Intelligent Multimedia, Video and Speech Processing, 20-22 October 2004, Hong Kong, China.
This paper presents a simple PIN-like approach to user authentication, using the gaze sequence of an observer when presented with a previously-seen image on a personal computer screen. The method relies on the principle that the human visual system requires the eye to rest motionless for short periods, to assimilate detail at a given location in a visual scene. By deliberately looking at certain features or objects in a scene following a pre-defined sequence specified by the observer, an independent signature for personal identification can be established. Points of gaze fixation can be identified using a simple eye-tracker based on images from a typical webcam, and processed to extract a compact representation of the significant screen locations from the gaze sequence. Experimental results demonstrate that these "signatures" can be reliably and rapidly computed, and offer the advantage that they are difficult to detect by covert means.
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||Conference Paper|
|Keywords:||Visual Attention, Eye movement, biometrics, gaze, user authentication|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)|
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
Past > Schools > School of Engineering Systems
|Copyright Owner:||Copyright 2004 IEEE|
|Copyright Statement:||Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Deposited On:||17 Feb 2009 14:43|
|Last Modified:||09 Jun 2010 23:23|
Repository Staff Only: item control page