A Hybrid EEG-based Emotion Recognition Approach Using Wavelet Convolutional Neural Networks and Support Vector Machine

Introduction: Nowadays, deep learning and convolutional neural networks (CNNs) have become widespread tools in many biomedical engineering studies. CNN is an end-to-end tool, which makes the processing procedure integrated, but in some situations, this processing tool requires to be fused with machi...

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Vydané v:	Basic and clinical neuroscience Ročník 14; číslo 1; s. 87 - 102
Hlavní autori:	Bagherzadeh, Sara, Maghooli, Keivan, Shalbaf, Ahmad, Maghsoudi, Arash
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Iran Negah Scientific Publisher 01.01.2023 Iranian Neuroscience Society
Predmet:	Arousal Deep learning EEG Electroencephalography Learning algorithms Neural networks Research Paper Support vector machines Wavelet transforms Emotion recognition Support vector machine Electroencephalogram Convolutional neural network Continuous wavelet transform Feature extractor
ISSN:	2228-7442, 2008-126X, 2228-7442
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