Predicting cognitive load with EEG using Riemannian geometry-based features
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DOI: 10.1088/1741-2552/ad680b
Abstract: Objective. We show that electroencephalography (EEG)-based cognitive load (CL) prediction using Riemannian geometry features outperforms existing models. The performance is estimated using Riemannian Procrustes Analysis (RPA) with a test set of subjects unseen during training.… read more here.
Keywords: cognitive load; riemannian geometry; performance; using riemannian ... See more keywords