DocumentCode :
2244663
Title :
Facial Expression Recognition for E-learning Systems using Gabor Wavelet & Neural Network
Author :
Loh, May-Ping ; Wong, Ya-Ping ; Wong, Chee-Onn
Author_Institution :
Fac. of Inf. Technol., Multimedia Univ.
fYear :
2006
fDate :
5-7 July 2006
Firstpage :
523
Lastpage :
525
Abstract :
In this paper, we present our initial studies and results obtained on e-learning facial expression recognition using Gabor wavelet for facial feature extraction, and back-propagation neural network for expression classification. An eFEC database that consists of 600 facial expression images is built for our research. We also provide reasons on why we need to build our own database instead of customizing and using available expressions database, and the differences between eFEC databases compared to others. You may find comparisons in various experiment results presented. We believe the information would be very useful as to provide guideline and direction on how to improve the system performance and make it applicable in real-life e-learning environments
Keywords :
backpropagation; computer aided instruction; face recognition; feature extraction; image classification; neural nets; wavelet transforms; Gabor wavelet; backpropagation neural network; e-learning systems; expression classification; facial expression recognition; facial feature extraction; Electronic learning; Face recognition; Facial features; Forehead; Hair; Image databases; Information technology; Neural networks; Spatial databases; System performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies, 2006. Sixth International Conference on
Conference_Location :
Kerkrade
Print_ISBN :
0-7695-2632-2
Type :
conf
DOI :
10.1109/ICALT.2006.1652491
Filename :
1652491
Link To Document :
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