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Human-Computer Systems Interaction: Backgrounds and Applications 3 pp 3–14Cite as

A Robust Asynchronous SSVEP Brain- Computer Interface Based on Cluster Analysis of Canonical Correlation Coefficients

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 300))

Abstract

Brain computer interface (BCI) systems allow a natural interaction with machines, especially needed by people with severe motor disabilities or those whose limbs are occupied with other tasks. As the electrical brain activity (EEG) is measured on the user scalp in those systems, they are noninvasive. However, due to small amplitude of the relevant signal components, poor spatial resolution, diversity within users’ anatomy and EEG responses, achieving high speed and accuracy at large number of interface commands is a challenge. It is postulated in this paper that the SSVEP BCI paradigm, combined with multichannel filtering can provide the interface robustness to user diversity and electrode placement. A cluster analysis of the canonical correlation coefficients (computed for multichannel EEG signals evoked by alternate visual half-field LED stimulation) is used to achieve this goal. Experimental results combined with computer simulation are presented to objectively evaluate the method performance.

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Authors and Affiliations

  1. Institute of Electronics, Lodz University of Technology, Łódź, Poland

    A. Materka & P. Poryzała

Authors
  1. A. Materka
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  2. P. Poryzała
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Corresponding author

Correspondence to A. Materka .

Editor information

Editors and Affiliations

  1. Department of Expert Systems and Artificial Intelligence, University of Information Technology and Management, Rzeszów, Poland

    Zdzisław S. Hippe

  2. Polish Academy of Sciences, M. Nalecz Institute of Biocybernetics and Biomedical Engineering, Warsaw, Poland

    Juliusz L. Kulikowski

  3. University of Information Technology and Management, Rzeszów, Poland

    Teresa Mroczek

  4. Gdańsk University of Technology, Gdańsk-Wrzeszcz, Poland

    Jerzy Wtorek

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Materka, A., Poryzała, P. (2014). A Robust Asynchronous SSVEP Brain- Computer Interface Based on Cluster Analysis of Canonical Correlation Coefficients. In: Hippe, Z., Kulikowski, J., Mroczek, T., Wtorek, J. (eds) Human-Computer Systems Interaction: Backgrounds and Applications 3. Advances in Intelligent Systems and Computing, vol 300. Springer, Cham. https://doi.org/10.1007/978-3-319-08491-6_1

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  • DOI: https://doi.org/10.1007/978-3-319-08491-6_1

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08490-9

  • Online ISBN: 978-3-319-08491-6

  • eBook Packages: EngineeringEngineering (R0)

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