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Biometric Identification Using Gaze and Mouse Dynamics During Game Playing

  • Paweł KasprowskiEmail author
  • Katarzyna Harezlak
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 928)

Abstract

The paper presents a method, developed for identifying people based on their mouse and gaze dynamics obtained between two mouse clicks. The data used to evaluate the method was collected when participants were playing a simple shooting game. Various statistics were calculated taking mouse and gaze speed and acceleration into account. 24 participants took part in the experiment conducted to check if the proposed method may be applied for identification and authentication purposes. Although, the obtained averaged results (EER 11% and F1-score 90%) showed that statistics calculated for a combination of recorded mouse and gaze positions may be successfully used for authenticating people, it must be noticed that there were significant differences in performance among participants. For about half of them the results were satisfactory, with the best EER 4% and F1-score 99%, while for the worst participant EER equal to 23% and F1-score to 76% were obtained. These results suggest that finding one set of features that is suitable for every person may be a challenging task. It may imply that for behavioral biometric building separate sets of features for each enrolled person should be considered.

Keywords

Biometric identification Mouse Gaze 

Notes

Acknowledgements

This work was supported by Statutory Research funds of Institute of Informatics, Silesian University of Technology, Gliwice, Poland (grant No BK-213/RAU2/2018).

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Silesian University of TechnologyGliwicePoland

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