DocumentCode :
2600445
Title :
The Study of Learners´ Emotional Features in the E-learning System
Author :
Liu, Yin ; Wang, Wansen ; Liu, Dian ; Liu, Shuai
Author_Institution :
Inf. Eng. Coll., Capital Normal Univ., Beijing, China
Volume :
1
fYear :
2010
fDate :
24-25 April 2010
Firstpage :
423
Lastpage :
426
Abstract :
It is an important direction increasing emotional recognition in the network system. This paper uses the improved Adaboost algorithm based on front-end color optimization to detect face and locate eye and mouth positions, adopts the deformable template matching method to extract eye spacing and uses the method based on lip color model to extract mouth radian. These methods have good test results. They are provided important parameters to analyze the emotion of learners.
Keywords :
computer aided instruction; emotion recognition; optimisation; pattern matching; adaboost algorithm; deformable template matching method; e- learning system; front-end color optimization; learner emotional features; Data mining; Deformable models; Education; Educational institutions; Electronic learning; Emotion recognition; Face detection; Image color analysis; Mouth; Optimization methods; E-learning; face area; mouth radian; the improved adaboost;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networks Security Wireless Communications and Trusted Computing (NSWCTC), 2010 Second International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-4011-5
Electronic_ISBN :
978-1-4244-6598-9
Type :
conf
DOI :
10.1109/NSWCTC.2010.105
Filename :
5480943
Link To Document :
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