• DocumentCode
    1828334
  • Title

    Fall detection - Principles and Methods

  • Author

    Noury, N. ; Fleury, A. ; Rumeau, P. ; Bourke, A.K. ; Laighin, G.O. ; Rialle, V. ; Lundy, J.E.

  • Author_Institution
    Univ. Joseph Fourier, Grenoble
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    1663
  • Lastpage
    1666
  • Abstract
    Fall detection of the elderly is a major public health problem. Thus it has generated a wide range of applied research and prompted the development of telemonitoring systems to enable the early diagnosis of fall conditions. This article is a survey of systems, algorithms and sensors, for the automatic early detection of the fall of elderly persons. It points out the difficulty to compare the performances of the different systems due to the lack of a common framework. It then proposes a procedure for this evaluation.
  • Keywords
    biomechanics; biomedical measurement; geriatrics; intelligent sensors; mechanoception; patient monitoring; automatic early detection; elderly persons; fall detection; public health problem; smart sensor; telemonitoring systems; Acceleration; Accelerometers; Epilepsy; Gyroscopes; Laboratories; Monitoring; Public healthcare; Senior citizens; Sensor systems; Switches; Accidental Falls; Activities of Daily Living; Algorithms; Equipment Design; Humans; Monitoring, Ambulatory; Movement; Technology Assessment, Biomedical; Transducers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4352627
  • Filename
    4352627