Papers Papers/2020



Paper Unlock

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

Affiliation: Universidad de Sevilla, Spain

ISBN: 978-989-758-268-4

ISSN: 2184-321X

Keyword(s): Emotions, Signal Processing, Single EEG Electrode, Classification Analysis.

Related Ontology Subjects/Areas/Topics: Affective Computing ; Biomedical Engineering ; Health Information Systems

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.


Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 - PhyCS, ISBN 978-989-758-268-4; ISSN 2184-321X, pages 89-95. DOI: 10.5220/0006476300890095

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 - PhyCS,},


JO - Proceedings of the 4th International Conference on Physiological Computing Systems - PhyCS,
TI - Emotions Detection based on a Single-electrode EEG Device
SN - 978-989-758-268-4
IS - 2184-321X
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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.