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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Veröffentlicht in:	Frontiers in systems neuroscience Jg. 14; S. 43
Hauptverfasser:	Liu, Junxiu, Wu, Guopei, Luo, Yuling, Qiu, Senhui, Yang, Su, Li, Wei, Bi, Yifei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland Frontiers Media S.A 02.09.2020
Schlagworte:	convolutional neural network deep neural network EEG emotion recognition Neuroscience sparse autoencoder emotion recognition EEG convolutional neural network deep neural network sparse autoencoder
ISSN:	1662-5137, 1662-5137
Online-Zugang:	Volltext
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