Title :
Intelligent facial expression recognition system R&C-FER
Author :
Tu, Yongqiu ; Li, Shaofa ; Wang, Minqin
Author_Institution :
South China Univ. of Technol., Guangzhou
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;
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
DOI :
10.1109/WCICA.2008.4593317
