Looking for Emotions on a Single EEG Signal
| Autor: | Isabel M. Gómez-González, Juan A. Castro-García, Manuel Merino-Monge, Alberto J. Molina-Cantero, José I. Escudero-Fombuena, Roylán Quesada-Tabares, Clara Lebrato-Vázquez |
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| Přispěvatelé: | Universidad de Sevilla. Departamento de Tecnología Electrónica |
| Rok vydání: | 2018 |
| Předmět: |
Signal processing
Single EEG channel medicine.diagnostic_test Relation (database) Computer science Speech recognition Dynamic properties Emotions Classification analysis Process (computing) Electroencephalography Signal Power (physics) medicine MATLAB computer Communication channel computer.programming_language |
| Zdroj: | idUS. Depósito de Investigación de la Universidad de Sevilla instname idUS: Depósito de Investigación de la Universidad de Sevilla Universidad de Sevilla (US) Physiological Computing Systems ISBN: 9783030279493 PhyCS (Selected Papers) |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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