%0 Conference Proceedings
%T The Impact of Temporal Proximity between Samples on Eye Movement Biometric Identification
%+ Institute of Informatics
%A Kasprowski, Paweł
%Z Part 3: Biometrics and Biometrics Applications
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 12th International Conference on Information Systems and Industrial Management (CISIM)
%C Krakow, Poland
%Y Khalid Saeed
%Y Rituparna Chaki
%Y Agostino Cortesi
%Y Sławomir Wierzchoń
%I Springer
%3 Computer Information Systems and Industrial Management
%V LNCS-8104
%P 77-87
%8 2013-09-25
%D 2013
%R 10.1007/978-3-642-40925-7_8
%K eye movement biometrics
%K behavioral biometrics
%K classification
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X Eye movements identification is an interesting alternative to other biometric identification methods. It compiles both physiological and behavioral aspects and therefore it is difficult to forge. However, the main obstacle to popularize this methodology is lack of general recommendations considering eye movement biometrics experiments. Another problem is lack of commonly available databases of eye movements. Different authors present their methodologies using their own datasets of samples recorded with different devices and scenarios. It excludes possibility to compare different approaches. It is obvious that the way the samples were recorded influences the overall results. This work tries to investigate how one of the elements – temporal proximity between subsequent measurements – influences the identification results. A dataset of 2556 eye movement recordings collected for over 5 months was used as the basis of analyses. The main purpose of the paper is to identify the impact of sampling and classification scenarios on the overall identification results and to recommend scenarios for creation of future datasets.
%G English
%Z TC 8
%2 https://inria.hal.science/hal-01496101/document
%2 https://inria.hal.science/hal-01496101/file/978-3-642-40925-7_8_Chapter.pdf
%L hal-01496101
%U https://inria.hal.science/hal-01496101
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-CISIM
%~ IFIP-LNCS-8104