DocumentCode :
3186691
Title :
Automated facial affect analysis for one-on-one tutoring applications
Author :
Butko, Nicholas J. ; Theocharous, Georgios ; Philipose, Matthai ; Movellan, Javier R.
Author_Institution :
Inst. for Neural Comput., La Jolla, CA, USA
fYear :
2011
fDate :
21-25 March 2011
Firstpage :
382
Lastpage :
387
Abstract :
In this paper, we explore the use of computer vision techniques to analyze students´ moods during one-on-one teaching interactions. The eventual goal is to create automated tutoring systems that are sensitive to the student´s mood and affective state. We find that the problem of accurately determining a child´s mood from a single video frame is surprisingly difficult, even for humans. However when the system is allowed to make decisions based on information from 10 to 30 seconds of video, excellent performance may be obtained.
Keywords :
behavioural sciences computing; emotion recognition; face recognition; human computer interaction; intelligent tutoring systems; automated facial affect analysis; automated tutoring system; computer vision technique; decision making; one-on-one tutoring application; student mood analysis; Context; Education; Histograms; Humans; Labeling; Machine learning; Mood;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automatic Face & Gesture Recognition and Workshops (FG 2011), 2011 IEEE International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
978-1-4244-9140-7
Type :
conf
DOI :
10.1109/FG.2011.5771430
Filename :
5771430
Link To Document :
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