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