DocumentCode
565820
Title
A preliminary system for recognizing boredom
Author
Jacobs, Allison M. ; Fransen, Benjamin ; McCurry, J. Malcolm ; Heckel, Frederick W P ; Wagner, Alan R. ; Trafton, J. Gregory
Author_Institution
George Mason Univ., Fairfax, VA, USA
fYear
2009
fDate
11-13 March 2009
Firstpage
299
Lastpage
300
Abstract
A 3D optical flow tracking system was used to track participants as they watched a series of boring videos. The video stream of the participants was rated for boredom events. Ratings and head position data were combined to predict boredom events.
Keywords
human-robot interaction; image sequences; object recognition; pose estimation; robot vision; video signal processing; video streaming; 3D optical flow tracking system; boredom events prediction; boredom recognition; head pose extraction; head position data extraction; human-robot interaction; participant tracking; video stream; Cameras; Computer vision; Educational institutions; Head; Image motion analysis; Magnetic heads; Videos; Human-Robot Interaction;
fLanguage
English
Publisher
ieee
Conference_Titel
Human-Robot Interaction (HRI), 2009 4th ACM/IEEE International Conference on
Conference_Location
La Jolla, CA
ISSN
2167-2121
Print_ISBN
978-1-60558-404-1
Type
conf
Filename
6256073
Link To Document