Graduate School and Research Center in Digital Sciences

Eye movement analysis for human authentication: Critical survey

Galdi, Chiara; Nappi, Michele; Riccio, Daniel; Wechsler, Harry

Pattern Recognition Letters, Volume 84, 1 December 2016

This paper addresses the active and dynamic nature of biometrics, in general, and gaze analysis, in particular, including motivation and background. The paper includes a critical survey of existing gaze analysis methods, challenges due to uncontrolled settings and lack of standards, and outlines promising future R&D directions. Criteria for performance evaluation are proposed, and state-of-the art gaze analysis methods are compared on the same database set. Performance improvement would come from richer stimuli including task dependent user profiles, with applications going much beyond identity management to include personalized medical care and rehabilitation, privacy, marketing, and education.

Document Doi Bibtex

Title:Eye movement analysis for human authentication: Critical survey
Keywords:gaze analysis; active and dynamic biometrics; eye movements; HCI; identity management; GANT; gaze scan paths; performance evaluation; uncontrolled settings
Type:Journal
Language:English
City:
Date:
Department:Digital Security
Eurecom ref:5050
Copyright: © Elsevier. Personal use of this material is permitted. The definitive version of this paper was published in Pattern Recognition Letters, Volume 84, 1 December 2016 and is available at : http://dx.doi.org/10.1016/j.patrec.2016.11.002
Bibtex: @article{EURECOM+5050, doi = {http://dx.doi.org/10.1016/j.patrec.2016.11.002}, year = {2016}, month = {12}, title = {{E}ye movement analysis for human authentication: {C}ritical survey}, author = {{G}aldi, {C}hiara and {N}appi, {M}ichele and {R}iccio, {D}aniel and {W}echsler, {H}arry}, journal = {{P}attern {R}ecognition {L}etters, {V}olume 84, 1 {D}ecember 2016}, url = {http://www.eurecom.fr/publication/5050} }
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