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Pattern Recognition in EEG Cognitive Signals Accelerated by GPU

  • Conference paper
International Joint Conference CISIS’12-ICEUTE´12-SOCO´12 Special Sessions

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 189))

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Abstract

Analysing of Electroencephalography (EEG) cognitive signals becomes more popular today due to availability of essential hardware (EEG headsets) and sufficient computation power of common computers. Fast and precise pattern matching of acquired signals represents one of the most important challenges. In this article, a method for signal pattern matching based on Non-negative Matrix Factorization is proposed. We also utilize short-time Fourier transform to preprocess EEG data and Cosine Similarity Measure to perform query-based classification. The recognition algorithm shows promising results in execution speed and is suitable for implementation on graphics processors to achieve real-time processing, making the proposed method suitable for real-world, real-time applications. In terms of recognition accuracy, our experiments show that accuracy greatly depends on the choice of input parameters.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science and Department of Measurement and Control, FEI, VSB - Technical University of Ostrava, 17. listopadu 15, 708 33, Ostrava, Poruba, Czech Republic

    Pavel Dohnálek, Petr Gajdoš, Tomáš Peterek & Marek Penhaker

Authors
  1. Pavel Dohnálek
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  2. Petr Gajdoš
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  3. Tomáš Peterek
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  4. Marek Penhaker
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Corresponding author

Correspondence to Pavel Dohnálek .

Editor information

Editors and Affiliations

  1. , Department of Civil Engineering, University of Burgos, Campus Vena (Edif.C), C/ Francisco de Vitoria, s/n, Burgos, 09006, Spain

    Álvaro Herrero

  2. VŠB-TU Ostrava, 17. listopadu 15, Ostrava, 70833, Czech Republic

    Václav Snášel

  3. MIR Labs, Scientific Network for Innovation, Machine Intelligence Research Labs, Auburn, 98071, USA

    Ajith Abraham

  4. VŠB-TU Ostrava, 17. listopadu 15, Ostrava, 70833, Czech Republic

    Ivan Zelinka

  5. , Department of Civil Engineering, University of Burgos, Campus Vena (Edif.C), C/ Francisco de Vitoria, s/n, Burgos, 09006, Spain

    Bruno Baruque

  6. Universidad de Salamanca, Plaza de la Merced S/N, Salamanca, 37008, Spain

    Héctor Quintián

  7. University of Coruña, Avda. 19 de febrero, s/n, Coruña, 15405 A, Spain

    José Luis Calvo

  8. y León, Pol. Ind. Villalonquéjar, Instituto Tecnológico de Castilla, Lopez Bravo 70, Burgos, 09001, Spain

    Javier Sedano

  9. Universidad de Salamanca, Plaza de la Merced S/N, Salamanca, 37008, Spain

    Emilio Corchado

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© 2013 Springer-Verlag Berlin Heidelberg

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Dohnálek, P., Gajdoš, P., Peterek, T., Penhaker, M. (2013). Pattern Recognition in EEG Cognitive Signals Accelerated by GPU. In: Herrero, Á., et al. International Joint Conference CISIS’12-ICEUTE´12-SOCO´12 Special Sessions. Advances in Intelligent Systems and Computing, vol 189. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33018-6_49

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  • DOI: https://doi.org/10.1007/978-3-642-33018-6_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33017-9

  • Online ISBN: 978-3-642-33018-6

  • eBook Packages: EngineeringEngineering (R0)

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