Hybrid CNN+LSTM+Attention model on single-channel EEG from 9 subjects reaches 78.5% within-subject accuracy distinguishing easy vs difficult video content, outperforming 55% baseline classifiers.
Using electroencephalography to measure cogni- tive load.Educational Psychology Review, 22(4):425–438,
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Single-Channel EEG-Based Cognitive Load Assessment in Online Learning: A Hybrid Deep Learning Approach
Hybrid CNN+LSTM+Attention model on single-channel EEG from 9 subjects reaches 78.5% within-subject accuracy distinguishing easy vs difficult video content, outperforming 55% baseline classifiers.