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Feasibility and Pragmatics of Classifying Working Memory Load with an Electroencephalograph

Feasibility and Pragmatics of Classifying Working Memory Load with an Electroencephalograph

This video was recorded at The 26th Annual CHI Conference on Human Factors in Computing Systems. We demonstrate high accuracies classifying working memory load using an electroencephalograph (EEG), even with little temporallag, not much training data, and a small number of EEG channels.

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