Integrating Functional Connectivity and Domain Adaptation for Generalizable EEG Emotion Recognition

Recognizing emotions using EEG signals is difficult because EEG data is not stationary, has a low signal-to-noise ratio, and varies a lot between subjects. We present a new hybrid framework called CDA-GAF (Cross-Domain Adaptive Graph Attention Fusion) in this work. It combines the strengths of Graph...

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Bibliographic Details
Published inBulletin of Scientific Research pp. 22 - 30
Main Authors R, Kishore Kanna, N, Kripa, Archibald E.D. Danquah-Amoah
Format Journal Article
LanguageEnglish
Published 03.05.2025
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