MEMA is a publicly released multi-label EEG dataset for online-learning attention classification, with baseline accuracies up to 85.12% subject-dependent and 64.84% cross-subject.
Recent theoretical, neural, and clinical advances in sustained attention research,
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A Multi-Label EEG Dataset for Mental Attention State Classification in Online Learning
MEMA is a publicly released multi-label EEG dataset for online-learning attention classification, with baseline accuracies up to 85.12% subject-dependent and 64.84% cross-subject.