BiLSTM-Based Human Emotion Classification Using EEG Signal
Emotion recognition using electroencephalography (EEG) signals has garnered significant attention due to its applications in affective computing, human-computer interaction, and healthcare. This study employs a Bidirectional Long Short-Term Memory (BiLSTM) network to classify emotions using EEG data...
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Published in | Clinical EEG and neuroscience p. 15500594251364017 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
United States
31.07.2025
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Subjects | |
Online Access | Get more information |
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