• 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