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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Published in | Frontiers in systems neuroscience Vol. 14; p. 43 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
Frontiers Media S.A
02.09.2020
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Subjects | |
Online Access | Get full text |
ISSN | 1662-5137 1662-5137 |
DOI | 10.3389/fnsys.2020.00043 |
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