Cross-subject EEG emotion recognition network based on moment channel attention
While most cross-subject EEG emotion recognition studies focus on average accuracy, the high inter-subject variability of EEG signals causes severe performance inconsistency across individuals. This inconsistency poses a critical barrier to real-world deployment but has received insufficient attention. To address this issue, this study proposes a hybrid emotion recognition model integrating…
Read original article on Frontiers in Psychiatry | New and Recent Articles →Related news
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