The 26th Annual CHI Conference on Human Factors in Computing Systems

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

Slides

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.

Lecture popularity: You need to login to cast your vote.

Description

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.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

Comment:
Name:
Email address:
URL:

make sure you have javascript enabled or clear this field: