Facial emotion recognition in modern distant education system using SVM

Author

Sun, Jian-ming ; Pei, Xue-sheng ; Zhou, Shi-sheng

Author_Institution

Xi´´an Univ. of Technol., Xi´´an

Volume

6

fYear

2008

fDate

12-15 July 2008

Firstpage

3545

Lastpage

3548

Abstract

Network and multimedia is the trend of the development of the modern education technology. The space-time separation of the modern distance education leads to the affection deficiency of the learners. In order to estimate the affective state of the learners in the modern distant education system, the model of distance education system based on affective computing is proposed and realized which took both facial features as input data. A real time facial expression recognition based on support vector machine (SVM) algorithm is also applied in the system. After test of the algorithm in the experiment, 100 facial images of 15 learners are randomly selected from database including six basic emotions and neutral as a training set. 265 facial images of 42 persons are used as testing set. The total recognition rate is 84.55%.

Keywords

computer aided instruction; distance learning; emotion recognition; face recognition; multimedia systems; support vector machines; SVM; databases; distant education system; facial emotion recognition; facial expression recognition; space-time separation; support vector machine; Distance learning; Educational technology; Emotion recognition; Face recognition; Facial features; Real time systems; Space technology; State estimation; Support vector machines; Testing; Emotion recognition module; Facial emotion recognition; Modern distant education system; SVM;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2008 International Conference on

Conference_Location

Kunming

Print_ISBN

978-1-4244-2095-7

Electronic_ISBN

978-1-4244-2096-4

Type

conf

DOI

10.1109/ICMLC.2008.4621018

Filename

4621018