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Detection of Eyes Position Based on Electrooculography Signal Analysis

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Artificial Intelligence and Soft Computing – ICAISC 2008 (ICAISC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5097))

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Abstract

In this paper we reported initial work at development of a human-machine interface system for people with severe disabilities based on measurement of electrooculography signal (EOG). We proposed a system for detecting and predicting eyes position using EOG. We applied a zero-order Takagi-Sugeno-Kang model with modified inference procedure for this task. To calculate values of parameters of fuzzy system we used results of EOG signal segmentation. Experimentation shows the usefulness of the presented method for improving functionality of interface systems that can assist people with limited upper body mobility.

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Authors and Affiliations

  1. Institute of Electronics, Silesian University of Technology, ul. Akademicka 16, 44-101, Gliwice, Poland

    Robert Czabański, Tomasz Przybyła & Tomasz Pander

Authors
  1. Robert Czabański
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  2. Tomasz Przybyła
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  3. Tomasz Pander
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Editor information

Leszek Rutkowski Ryszard Tadeusiewicz Lotfi A. Zadeh Jacek M. Zurada

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© 2008 Springer-Verlag Berlin Heidelberg

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Czabański, R., Przybyła, T., Pander, T. (2008). Detection of Eyes Position Based on Electrooculography Signal Analysis. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2008. ICAISC 2008. Lecture Notes in Computer Science(), vol 5097. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69731-2_87

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  • DOI: https://doi.org/10.1007/978-3-540-69731-2_87

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69572-1

  • Online ISBN: 978-3-540-69731-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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