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

  • Pawel Kasprowski
  • Katarzyna Harezlak
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 57)

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.

Keywords

Eye movement biometrics Dissimilarity matrix Fusion Dynamic time warping 

Notes

Acknowledgments

The authors would like to thank organizers of BioEye 2015 competition for publishing eye movement datasets that were used in this research. We also acknowledge the support of Silesian University of Technology grant BK/263/RAu2/2016.

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© Springer International Publishing Switzerland 2016

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Authors and Affiliations

  1. 1.Silesian University of TechnologyGliwicePoland

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