Emotion Classification from EEG Signals in Convolutional Neural Networks

dc.contributor.author Hayriye Donmez
dc.contributor.author Nalan Ǒzkurt
dc.date.accessioned 2025-10-06T17:51:20Z
dc.date.issued 2019
dc.description.abstract The objective of this research is to classify EEG (electroencephalography) signal recordings of the subjects evoked by visual stimulus by using CNN (Convolutional Neural Networks). EEG records the electrical activity of brain signals. In medicine EEG is used to diagnose some neurological disorders but moreover the classification of the emotions is also possible from EEG recordings. Emotion recognition is an important task for the computers in machine perception. Therefore in this study the participants are presented with a video containing funny scary and sad excerpts and simultaneously EEG signal is measured by Neurosky Mindwave EEG Headset. The spectrogram of EEG signals is supplied to CNN and three emotions are classified using brain signal spectrogram images. © 2020 Elsevier B.V. All rights reserved.
dc.identifier.doi 10.1109/ASYU48272.2019.8946364
dc.identifier.isbn 9781728128689
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078362347&doi=10.1109%2FASYU48272.2019.8946364&partnerID=40&md5=bb5880fa318c5e1790e41596393d21ee
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/9360
dc.language.iso English
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof 2019 Innovations in Intelligent Systems and Applications Conference ASYU 2019
dc.subject Cnn, Deep Learning, Eeg, Emotion Classification, Behavioral Research, Brain, Classification (of Information), Convolution, Deep Learning, Electroencephalography, Electrophysiology, Intelligent Systems, Neural Networks, Spectrographs, Convolutional Neural Network, Electrical Activities, Emotion Classification, Emotion Recognition, Machine Perception, Neurological Disorders, Signal Recording, Visual Stimulus, Biomedical Signal Processing
dc.subject Behavioral research, Brain, Classification (of information), Convolution, Deep learning, Electroencephalography, Electrophysiology, Intelligent systems, Neural networks, Spectrographs, Convolutional neural network, Electrical activities, Emotion classification, Emotion recognition, Machine perception, Neurological disorders, Signal recording, Visual stimulus, Biomedical signal processing
dc.title Emotion Classification from EEG Signals in Convolutional Neural Networks
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gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
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gdc.opencitations.count 35
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person.identifier.scopus-author-id Donmez- Hayriye (57215309405), Ǒzkurt- Nalan (8546186400)
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