Classification of Post-COVID-19 Emotions with Residual-Based Separable Convolution Networks and EEG...
Classification of Post-COVID-19 Emotions with Residual-Based Separable Convolution Networks and EEG Signals
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Basel: MDPI AG
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English
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Basel: MDPI AG
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The COVID-19 epidemic has created highly unprocessed emotions that trigger stress, anxiety, or panic attacks. These attacks exhibit physical symptoms that may easily lead to misdiagnosis. Deep-learning (DL)-based classification approaches for emotion detection based on electroencephalography (EEG) signals are computationally costly. Nowadays, limit...
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Classification of Post-COVID-19 Emotions with Residual-Based Separable Convolution Networks and EEG Signals
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TN_cdi_proquest_journals_2767296326
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2767296326
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ISSN
2071-1050
E-ISSN
2071-1050
DOI
10.3390/su15021293
