• DocumentCode
    1728490
  • Title

    Visual based dining activities detection in ambient assisted living

  • Author

    Yoong Choon Chang ; Sheikh, Ahsan Raza ; Jia Luen Chua ; Jie Sheng Tham

  • fYear
    2015
  • Firstpage
    494
  • Lastpage
    495
  • Abstract
    This paper summarizes some of the recent research work in visual based ambient assisted living carried out in Centre for Digital Home, Multimedia University. In particular, this paper will focus on detecting dining activities at home with the use of the conventional RGB camera and Microsoft Kinect. According to the best of our understanding, little work has been reported in the literature on identifying dining activities at home using surveillance camera and Microsoft Kinect.
  • Keywords
    assisted living; biomechanics; image sensors; video surveillance; Microsoft Kinect; ambient assisted living; conventional RGB camera; surveillance camera; visual based dining activities detection; Conferences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics - Taiwan (ICCE-TW), 2015 IEEE International Conference on
  • Conference_Location
    Taipei
  • Type

    conf

  • DOI
    10.1109/ICCE-TW.2015.7217017
  • Filename
    7217017