• DocumentCode
    2461527
  • Title

    A Research on Social Anxiety Individuals´ Emotion Recognition Using IEC

  • Author

    Huang, Xinyin ; Zhang, Yan ; Xu, Aibing ; Kawabayashi, Hisashi ; Chen, Yen-wei

  • Author_Institution
    Sch. of Educ., Soochow Univ., Suzhou, China
  • fYear
    2009
  • fDate
    12-14 Sept. 2009
  • Firstpage
    1213
  • Lastpage
    1216
  • Abstract
    In this paper, we present an application of interactive evolutionary computation (IEC) to emotional recognition in psychology, and show its possibility to general mental health measurement. In our experiments, 5 high-anxiety and 4 low-anxiety subjects are requested to design a happy facial image and a fearful facial image using an IEC-based CG facial image generation system. And then, other 70 students (evaluators) evaluate their images with a 5-level scale to estimate the range of each subject´s emotional perception. Experimental results showed that the emotional perception range of high-anxiety subjects is narrower than that of low-anxiety subjects.
  • Keywords
    computer graphics; emotion recognition; evolutionary computation; face recognition; interactive systems; medical computing; medical disorders; psychology; IEC; IEC-based CG facial image generation system; SAD; emotion recognition; emotional perception range; fearful facial image design; happy facial image design; interactive evolutionary computation; mental health measurement; psychology; social anxiety disorder; Character generation; Displays; Educational institutions; Emotion recognition; Evolutionary computation; Face recognition; IEC; Image generation; Psychology; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Hiding and Multimedia Signal Processing, 2009. IIH-MSP '09. Fifth International Conference on
  • Conference_Location
    Kyoto
  • Print_ISBN
    978-1-4244-4717-6
  • Electronic_ISBN
    978-0-7695-3762-7
  • Type

    conf

  • DOI
    10.1109/IIH-MSP.2009.185
  • Filename
    5337330