T-TIME combines an ensemble of source-trained EEGNet classifiers with incremental Euclidean alignment, conditional entropy minimization, and adaptive marginal distribution regularization to classify and adapt to a new user's EEG stream in real time.
Ranking and combining multiple predictors without labeled data,
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T-TIME: Test-Time Information Maximization Ensemble for Plug-and-Play BCIs
T-TIME combines an ensemble of source-trained EEGNet classifiers with incremental Euclidean alignment, conditional entropy minimization, and adaptive marginal distribution regularization to classify and adapt to a new user's EEG stream in real time.