A model of affective agent based on affective computing and its application in network learning system

Author

Duo, Sun ; Caiying, Zhou

Author_Institution

Dept. of Comput., Yangzhou Univ., Yangzhou, China

fYear

2010

fDate

16-18 April 2010

Firstpage

726

Lastpage

728

Abstract

Based on psychology and affective computing and applied the relationship between emotion and gesture, this paper set up a affective computing model. It can identify user´s emotion variety according to variety of user´s emotion and gesture. A network learning system is introduced, which uses the model above to get the change in emotion by the change in behavior or gesture. The whole structure design ·, the function of five parts and core code of this system are also offered. This system realizes the function of emotion communication in human-machine interaction and makes up for the short of emotion.

Keywords

emotion recognition; gesture recognition; learning (artificial intelligence); man-machine systems; affective agent model; affective computing; emotion communication; human machine interaction; network learning system application; users emotion identification; Computer applications; Computer networks; Education; Keyboards; Learning systems; Man machine systems; Mice; Psychology; Registers; Signal processing; affective computing; emotion agent; network leaning system; psychology;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-5263-7

Electronic_ISBN

978-1-4244-5265-1

Type

conf

DOI

10.1109/ICIME.2010.5477954

Filename

5477954