The Application of Face Location in the Network Turing System

Author

Liu, Yin ; Wang, Wansen

Author_Institution

Inf. Eng. Coll., Capital Normal Univ., Beijing

fYear

2009

fDate

23-24 May 2009

Firstpage

1

Lastpage

3

Abstract

The traditional intelligence network tutoring system can not be implemented affective tutoring. This paper proposed that it can obtain the chief facial features to analyze learners´ emotion, through the face detection and location under the web environment. It is based on the skin module to locate a human face to obtain the area of the face and it is based on the apriori knowledge and the best segmentation threshold value to obtain the eyelid spacing. This method has gained better test results. It can provide important parameters to analyze the emotion of learners.

Keywords

Internet; feature extraction; image segmentation; intelligent tutoring systems; Web environment; affective tutoring; best segmentation threshold value; eyelid spacing; face location; facial features; human face; intelligence network tutoring system; network turing system; Algorithm design and analysis; Colored noise; Educational institutions; Eyelids; Face detection; Humans; Image color analysis; Intelligent networks; Lighting; Skin;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-3893-8

Electronic_ISBN

978-1-4244-3894-5

Type

conf

DOI

10.1109/IWISA.2009.5073168

Filename

5073168