• DocumentCode
    2218237
  • Title

    De-noised Event Related Potentials in facial Emotion recognition

  • Author

    Blaisie, Kampire ; Lasheng, Yu

  • Author_Institution
    Dept. of Comput. Sci., Central South Univ., Changsha, China
  • Volume
    5
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Abstract
    The key point in the de-noising of Event-Related Potentials (ERP) is to give a clear visualization of ERP between different trials representing different types of emotions (Anger, Surprise, Fear, Sadness, Happiness, Neutral).We used 6 pictures representing each emotion as a stimulus to a male actor and recorded a total of 60ERP trials 10 for each emotion. A Mexican hat wavelet was used to de-noise recorded ERPs. A better estimation of both amplitude and latency was achieved, together with a clear variation between noise free trials thus an easy way to Emotion recognition.
  • Keywords
    emotion recognition; face recognition; image denoising; image representation; wavelet transforms; ERP; Mexican hat wavelet; amplitude; de-noised event related potentials; facial emotion recognition; latency; male actor; noise free trials; picture representation; visualization; Complexity theory; Emotion Recognition; Event-Related Potentials; Noise; Wavelets; component;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2154-7491
  • Print_ISBN
    978-1-4244-6539-2
  • Type

    conf

  • DOI
    10.1109/ICACTE.2010.5579137
  • Filename
    5579137