Human-Aided Computing: Utilizing Implicit Human Processing to Classify Images

author: Pradeep Shenoy, University of Washington
published: May 28, 2008,   recorded: April 2008,   views: 2871

Slides

Related content

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.
  Delicious Bibliography

Description

Human-Aided Computing uses an electroencephalograph (EEG)device to measure the outcomes of implicit cognitive processingto perform image classification, even when users are not explicitlyperforming the task.

See Also:

Download slides icon Download slides: chi08_shenoy_hac_01.ppt (2.3 MB)


Help icon Streaming Video Help

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:

make sure you have javascript enabled or clear this field: