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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Bibliographic Details
Published inClinical EEG and neuroscience p. 15500594251364017
Main Authors Kumar, Akhilesh, Kumar, Awadhesh
Format Journal Article
LanguageEnglish
Published United States 31.07.2025
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