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
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;
Conference_Titel :
Information Science and Applications (ICISA), 2013 International Conference on
Conference_Location :
Suwon
Print_ISBN :
978-1-4799-0602-4
DOI :
10.1109/ICISA.2013.6579398