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Cognitive Task Classificaiton from Wireless EEG

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Brain Informatics and Health (BIH 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9250))

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Abstract

Human brain uses a complex electro-chemical signaling pattern that creates our imagination, memory and self-consciousness. It is said that Electroencephalography better known as EEG contains signatures of various tasks that we perform. In this paper we study the possibility of categorizing tasks conducted by humans from EEG recordings. The novelty of this study mainly lies in the use of very cost effective consumer grade wireless EEG devices. Three cognitive tasks were considered: text reading and writing, Math problem solving and watching videos. Twelve subjects were used in this experiment. Initial features were calculated from Discrete Wavelet Transform (DWT) of raw EEG signals. After application of appropriate dimensionality reduction, Support Vector Machine (SVM) was used for classification of tasks. DWT + Kernel PCA with SVM based classifier showed 86.09 % accuracy.

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Author information

Authors and Affiliations

  1. Computer Vision and Cybernetics Group, CSE, Independent University, Dhaka, Bangladesh

    Shuvo Kumar Paul, M. S. Q. Zulkar Nine, Mahady Hasan & M. Ashraful Amin

Authors
  1. Shuvo Kumar Paul
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  2. M. S. Q. Zulkar Nine
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  3. Mahady Hasan
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  4. M. Ashraful Amin
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Corresponding author

Correspondence to M. Ashraful Amin .

Editor information

Editors and Affiliations

  1. Imperial College London , Data Science Institute, London, United Kingdom

    Yike Guo

  2. Institute of Cognitive Neuroscience, University College London, London, United Kingdom

    Karl Friston

  3. Imperial College London, London, United Kingdom

    Faisal Aldo

  4. Campus Biotech, École Polytechnique Fédérale de Lausanne, Geneva, Switzerland

    Sean Hill

  5. Allen Institute for Brain Science, Seattle, USA

    Hanchuan Peng

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© 2015 Springer International Publishing Switzerland

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Paul, S.K., Zulkar Nine, M.S.Q., Hasan, M., Amin, M.A. (2015). Cognitive Task Classificaiton from Wireless EEG. In: Guo, Y., Friston, K., Aldo, F., Hill, S., Peng, H. (eds) Brain Informatics and Health. BIH 2015. Lecture Notes in Computer Science(), vol 9250. Springer, Cham. https://doi.org/10.1007/978-3-319-23344-4_2

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  • DOI: https://doi.org/10.1007/978-3-319-23344-4_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23343-7

  • Online ISBN: 978-3-319-23344-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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