• DocumentCode
    144868
  • Title

    Elderly care notification system using hand posture recognition

  • Author

    Sawasdee, Sutang ; Pumrin, Suree

  • Author_Institution
    Dept. of Electr. Eng., Chulalongkorn Univ., Bangkok, Thailand
  • fYear
    2014
  • fDate
    6-8 May 2014
  • Firstpage
    304
  • Lastpage
    309
  • Abstract
    This paper proposes a hand posture recognition as an assistive tool for elderly care. The system uses Haar-like feature, Principle Component Analysis (PCA), and simulation web server for detection, recognition, and alert by order. Our system interprets the hand sign captured by web camera and alerts a caregiver via smart phone. Besides, a caregiver can also periodically check needs of an elder from a smart phone. So a caregiver can do other tasks more efficiently because he/she need not to be with an elder at all times. The empirical results show satisfactory performance of PCA and contour detection with hand posture recognition.
  • Keywords
    assisted living; cameras; edge detection; feature extraction; gesture recognition; handicapped aids; principal component analysis; smart phones; Haar-like feature; PCA; Web camera; assistive tool; caregiver; contour detection; elderly care notification system; hand posture recognition; hand sign; principle component analysis; simulation Web server; smart phone; Classification algorithms; Feature extraction; Principal component analysis; Senior citizens; Smart phones; Thumb; AdaBoost algorithm; Haar-like feature; Hand posture recogniotion; Principle Component Analysis; elderly care;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Information and Communication Technology and it's Applications (DICTAP), 2014 Fourth International Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    978-1-4799-3723-3
  • Type

    conf

  • DOI
    10.1109/DICTAP.2014.6821701
  • Filename
    6821701