Emotions Detection based on a Single-electrode EEG Device

Roylan Quesada-Tabares, Alberto J. Molina-Cantero, Isabel Gómez-González, Manuel Merino-Monge, Juan A. Castro-García, Rafael Cabrera-Cabrera

Abstract

The study of emotions using multiple channels of EEG represents a widespread practice in the field of research related to brain computer interfaces (Brain Computer Interfaces). To date, few studies have been reported in the literature with a reduced number of channels, which when used in the detection of emotions present results that are less accurate than the rest. To detect emotions using an EEG channel and the data obtained is useful for classifying emotions with an accuracy comparable to studies in which there is a high number of channels, is of particular interest in this research framework. This article uses the Neurosky Maindwave device; which has a single electrode to acquire the EEG signal, Matlab software and IBM SPSS Modeler; which process and classify the signals respectively. The accuracy obtained in the detection of emotions in relation to the economic resources of the hardware dedicated to the acquisition of EEG signal is remarkable.

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Paper Citation


in Harvard Style

Quesada-Tabares R., Molina-Cantero A., Gómez-González I., Merino-Monge M., Castro-García J. and Cabrera-Cabrera R. (2017). Emotions Detection based on a Single-electrode EEG Device . In Proceedings of the 4th International Conference on Physiological Computing Systems - Volume 1: PhyCS, ISBN 978-989-758-268-4, pages 89-95. DOI: 10.5220/0006476300890095


in Bibtex Style

@conference{phycs17,
author={Roylan Quesada-Tabares and Alberto J. Molina-Cantero and Isabel Gómez-González and Manuel Merino-Monge and Juan A. Castro-García and Rafael Cabrera-Cabrera},
title={Emotions Detection based on a Single-electrode EEG Device},
booktitle={Proceedings of the 4th International Conference on Physiological Computing Systems - Volume 1: PhyCS,},
year={2017},
pages={89-95},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006476300890095},
isbn={978-989-758-268-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Physiological Computing Systems - Volume 1: PhyCS,
TI - Emotions Detection based on a Single-electrode EEG Device
SN - 978-989-758-268-4
AU - Quesada-Tabares R.
AU - Molina-Cantero A.
AU - Gómez-González I.
AU - Merino-Monge M.
AU - Castro-García J.
AU - Cabrera-Cabrera R.
PY - 2017
SP - 89
EP - 95
DO - 10.5220/0006476300890095