Ponencia
Looking for Emotions on a Single EEG Signal
Autor/es | Quesada Tabares, Roylán
Molina Cantero, Alberto Jesús Escudero Fombuena, José Ignacio Merino Monge, Manuel Gómez González, Isabel María Lebrato Vázquez, Clara Castro García, Juan Antonio |
Departamento | Universidad de Sevilla. Departamento de Tecnología Electrónica |
Fecha de publicación | 2018 |
Fecha de depósito | 2021-03-11 |
Publicado en |
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ISBN/ISSN | 978-3-030-27949-3 0302-9743 |
Resumen | 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 ... 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. |
Cita | Quesada Tabares, R., Molina Cantero, A.J., Escudero Fombuena, J.I., Merino Monge, M., Gómez González, I.M., Lebrato-Vázquez, C. y Castro García, J.A. (2018). Looking for Emotions on a Single EEG Signal. En PhyCS 2018: 5th International Conference on Physiological Computing Systems (78-92), Sevilla, España: Springer. |
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