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Comparison of Four Methods of Combining Classifiers on the Basis of Dispersed Medical Data Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Using Dissimilarity Matrix for Eye Movement Biometrics with a Jumping Point Experiment

Authors : Pawel Kasprowski, Katarzyna Harezlak

Published in: Intelligent Decision Technologies 2016

Publisher: Springer International Publishing

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Abstract

The paper presents studies on the application of the dissimilarity matrix-based method to the eye movement analysis. This method was utilized in the biometric identification task. To assess its efficiency four different datasets based on similar scenario (‘jumping point’ type) yet using different eye trackers, recording frequencies and time intervals have been used. It allowed to build the common platform for the research and to draw some interesting comparisons. The dissimilarity matrix, which has never been used for identifying people on the basis of their eye movements, was constructed with usage of different distance measures. Additionally, there were different signal transforms and metrics checked and their performance on various datasets was compared. It is worth mentioning that the paper presents the algorithm that was used during the BioEye 2015 competition and ranked as one of the top three methods.

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Metadata
Title
Using Dissimilarity Matrix for Eye Movement Biometrics with a Jumping Point Experiment
Authors
Pawel Kasprowski
Katarzyna Harezlak
Copyright Year
2016
Book
Intelligent Decision Technologies 2016

Print ISBN: 978-3-319-39626-2

Electronic ISBN: 978-3-319-39627-9

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-39627-9_8

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