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 :
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