Electroencephalogram Access for Emotion Recognition Based on a Deep Hybrid Network
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Title
Electroencephalogram Access for Emotion Recognition Based on a Deep Hybrid Network
Authors
Keywords
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Journal
Frontiers in Human Neuroscience
Volume 14, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2021-01-10
DOI
10.3389/fnhum.2020.589001
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- (2018) Shibendu Mahata et al. DIGITAL SIGNAL PROCESSING
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- Cross-Subject EEG Feature Selection for Emotion Recognition Using Transfer Recursive Feature Elimination
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- DEAP: A Database for Emotion Analysis ;Using Physiological Signals
- (2011) S. Koelstra et al. IEEE Transactions on Affective Computing
- A better oscillation detection method robustly extracts EEG rhythms across brain state changes: The human alpha rhythm as a test case
- (2010) Tara A. Whitten et al. NEUROIMAGE
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