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International Conference: Beyond Databases, Architectures and Structures

BDAS 2018: Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety pp 494–504Cite as

Biometric Identification Using Gaze and Mouse Dynamics During Game Playing

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Part of the book series: Communications in Computer and Information Science ((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.

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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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Authors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    Paweł Kasprowski & Katarzyna Harezlak

Authors
  1. Paweł Kasprowski
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  2. Katarzyna Harezlak
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Corresponding author

Correspondence to Paweł Kasprowski .

Editor information

Editors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Stanisław Kozielski

  2. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Dariusz Mrozek

  3. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Paweł Kasprowski

  4. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Bożena Małysiak-Mrozek

  5. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Daniel Kostrzewa

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Kasprowski, P., Harezlak, K. (2018). Biometric Identification Using Gaze and Mouse Dynamics During Game Playing. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety. BDAS 2018. Communications in Computer and Information Science, vol 928. Springer, Cham. https://doi.org/10.1007/978-3-319-99987-6_38

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  • DOI: https://doi.org/10.1007/978-3-319-99987-6_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99986-9

  • Online ISBN: 978-3-319-99987-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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