Feasibility and Pragmatics of Classifying Working Memory Load with an Electroencephalograph

author: Scott E. Hudson, School of Computer Science, Carnegie Mellon University
published: May 28, 2008,   recorded: April 2008,   views: 3355


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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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