Intelligent facial expression recognition system R&C-FER

Author

Tu, Yongqiu ; Li, Shaofa ; Wang, Minqin

Author_Institution

South China Univ. of Technol., Guangzhou

fYear

2008

fDate

25-27 June 2008

Firstpage

2501

Lastpage

2506

Abstract

A facial classification scheme which combines blackboard system and agent structure together is proposed to make up for the existing facial expression recognition systemspsila (FER) shortcomings, by which the designed FER has intelligent ability such as self-learning and self-definition abilities. This intelligent system consists of rule knowledge database and case knowledge database to improve its reasoning ability by combining rule-based reasoning and case-based reasoning. The architecture, the flow path and the mainly modulespsila structure of the intelligent facial expression recognition system (IFER) were demonstrated and the experiment results were presented and analyzed in detail in this paper.

Keywords

case-based reasoning; emotion recognition; face recognition; multi-agent systems; pattern classification; IFER; R&C-FER; agent structure; blackboard system; case knowledge database; case-based reasoning; facial classification scheme; intelligent facial expression recognition system; rule knowledge database; rule-based reasoning; Computer science; Databases; Design automation; Electronic mail; Face recognition; Gold; Intelligent agent; Intelligent control; Intelligent structures; Intelligent systems; agent structure; blackboard system; case-based reasoning; facial action coding system (FACS); intelligent facial expression recognition; rule-based reasoning;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Conference_Location

Chongqing

Print_ISBN

978-1-4244-2113-8

Electronic_ISBN

978-1-4244-2114-5

Type

conf

DOI

10.1109/WCICA.2008.4593317

Filename

4593317