DocumentCode
2893087
Title
Emotional Recognition System Using Curve Fitting with Bezier Cubics
Author
Yong-Hwan Lee ; Yukong Lee ; Je-Ho Park ; Woori Han ; Youngseop Kim
Author_Institution
Dept. of Appl. Comput. Eng., Dankook Univ., Yongin, South Korea
fYear
2013
fDate
24-26 June 2013
Firstpage
1
Lastpage
2
Abstract
Recognizing and understanding of human emotion is a strongly reasonable method for the interaction among human and machine communication system. The most expressive way to extract and recognize the humane emotion is through facial expression analysis. This paper presents and implements an automatic extracting, understand and recognizing method of facial expression and emotion from input still images. To evaluate the performance of the proposed scheme, we perform real implementation and experiment to verify the efficiency of emotional recognition with expressive facial database. The obtained results reveal good performance.
Keywords
curve fitting; emotion recognition; face recognition; feature extraction; visual databases; Bezier cubics; automatic extracting method; curve fitting; expressive facial database; facial expression; human communication system; human emotion recognition; input still images; machine communication system; Databases; Emotion recognition; Face; Face recognition; Feature extraction; Image color analysis; Skin;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Applications (ICISA), 2013 International Conference on
Conference_Location
Suwon
Print_ISBN
978-1-4799-0602-4
Type
conf
DOI
10.1109/ICISA.2013.6579398
Filename
6579398
Link To Document