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Looking for Emotions on a Single EEG Signal

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Physiological Computing Systems (PhyCS 2016, PhyCS 2017, PhyCS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10057))

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Abstract

This work aims at demonstrating that it is possible to detect emotions using a single EEG channel with an accuracy that is comparable to that obtained in studies carried out with devices that have a high number of channels. In this article the Neurosky Maindwave device, which only a single electrode at the FP1 position, the MatLab and the IBM SPSS Modeler were used to acquire, process and classify the signals respectively. It is remarkable the accuracy achieved in relation to the inexpensive hardware employed for the acquisition of the EEG signal. The result of this study allows us to determine when the brain response is more intense after undergoing the subject, in the experimentation, to the stimuli that generate those emotions. This let us decide which brain power bands are most significants and which moments are the most appropriate to carry out this detection of emotions.

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Acknowledgments

We sincerely and deeply thank the people involved in the realization of this study and the anonymous reviewers who helped us improve this document with their comments.

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Authors and Affiliations

  1. Departamento de Tecnología Electrónica, Universidad de Sevilla, Seville, Spain

    Roylán Quesada-Tabares, Alberto J. Molina-Cantero, José I. Escudero-Fombuena, Manuel Merino-Monge, Isabel M. Gómez-González, Clara Lebrato-Vázquez & Juan A. Castro-García

Authors
  1. Roylán Quesada-Tabares
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  2. Alberto J. Molina-Cantero
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  3. José I. Escudero-Fombuena
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  4. Manuel Merino-Monge
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  5. Isabel M. Gómez-González
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  6. Clara Lebrato-Vázquez
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  7. Juan A. Castro-García
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Corresponding author

Correspondence to Alberto J. Molina-Cantero .

Editor information

Editors and Affiliations

  1. Medical University of Graz, Graz, Austria

    Andreas Holzinger

  2. NASA Langley Research Center, Hampton, VA, USA

    Alan Pope

  3. IT - Instituto de Telecomunicações, Lisbon, Portugal

    Hugo Plácido da Silva

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Quesada-Tabares, R. et al. (2019). Looking for Emotions on a Single EEG Signal. In: Holzinger, A., Pope, A., Plácido da Silva, H. (eds) Physiological Computing Systems. PhyCS PhyCS PhyCS 2016 2017 2018. Lecture Notes in Computer Science(), vol 10057. Springer, Cham. https://doi.org/10.1007/978-3-030-27950-9_5

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  • DOI: https://doi.org/10.1007/978-3-030-27950-9_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-27949-3

  • Online ISBN: 978-3-030-27950-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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