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
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