• DocumentCode
    1694304
  • Title

    Proposal of an awaking detection system adopting Neural Network in hospital use

  • Author

    Matsubara, Taiki ; Satoh, Hironobu ; Takeda, Fumiaki

  • Author_Institution
    Kochi Univ. of Technol., Kami
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Recently, accidents such that seniors fall down from the bed in care facilities or hospitals are increased. To prevent these accidents, we propose an awaking detection system using Neural Network (NN) in hospital use. In this paper, to increase detection capability of the proposed system, the feature extractive method is contrived with including dynamic information and static one. Furthermore, we adopt a face extractive method into our proposed system to execute more detail extraction of the objective personpsilas picture from the background. We show its feasibility with experimental results.
  • Keywords
    feature extraction; hospitals; image sensors; neural nets; neurophysiology; patient care; awaking detection system; face extractive method; hospital care facility; hospital use; neural network; Accidents; Brightness; Cameras; Data mining; Face detection; Feature extraction; Hospitals; Neural networks; Neurons; Proposals; Awaking detection; Falling down from a bed; Neural network; Patient’s behavior;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Congress, 2008. WAC 2008. World
  • Conference_Location
    Hawaii, HI
  • Print_ISBN
    978-1-889335-38-4
  • Electronic_ISBN
    978-1-889335-37-7
  • Type

    conf

  • Filename
    4698952