EEG-Based Emotion Classification Using a Deep Neural Network and Sparse Autoencoder

Emotion classification based on brain–computer interface (BCI) systems is an appealing research topic. Recently, deep learning has been employed for the emotion classifications of BCI systems and compared to traditional classification methods improved results have been obtained. In this paper, a nov...

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Detalhes bibliográficos
Main Authors: Junxiu Liu, Guopei Wu, Yuling Luo, Senhui Qiu, Su Yang, Wei Li, Yifei Bi
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2020-09-01
Colecção:Frontiers in Systems Neuroscience
Assuntos:
EEG
emotion recognition
convolutional neural network
sparse autoencoder
deep neural network
Acesso em linha:https://www.frontiersin.org/article/10.3389/fnsys.2020.00043/full
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