• DocumentCode
    1861050
  • Title

    Evaluation of Facial Paralysis Degree Based on Regions

  • Author

    Li´an Liu ; Guanglin Cheng ; Junyu Dong ; Shengke Wang ; Haibin Qu

  • Author_Institution
    Acupuncture & Tuina Dept., Qingdao Hiser Med. Center, Qingdao, China
  • fYear
    2010
  • fDate
    9-10 Jan. 2010
  • Firstpage
    514
  • Lastpage
    517
  • Abstract
    Facial paralysis commonly results in complete loss of voluntary movement on one side of human face. Before making treatment strategy doctors need to estimate the degree of paralysis. Previous work only used a few salient points to achieve the goal, whereas this paper proposes a new method to quantitatively estimate the paralysis degree based on comparison of multiple regions on human face. For each patient, we capture four images and each image stands for one movement . Since these movements change the surface areas of specific facial regions, we can obtain the facial paralysis degree by calculating these changes. Experiments show that our method is effective and convenient in practice.
  • Keywords
    edge detection; face recognition; feature extraction; facial paralysis degree evaluation; human face; salient points; treatment strategy; voluntary movement; Biomedical imaging; Data mining; Educational institutions; Eyebrows; Eyes; Face; Humans; Mouth; Nose; Pixel; evaluaation; facial paralysis; region separation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Discovery and Data Mining, 2010. WKDD '10. Third International Conference on
  • Conference_Location
    Phuket
  • Print_ISBN
    978-1-4244-5397-9
  • Electronic_ISBN
    978-1-4244-5398-6
  • Type

    conf

  • DOI
    10.1109/WKDD.2010.145
  • Filename
    5432513