• DocumentCode
    3071888
  • Title

    Fall detection using multiple cameras

  • Author

    Auvinet, Edouard ; Reveret, Lionel ; St-Arnaud, Alain ; Rousseau, Jacqueline ; Meunier, Jean

  • Author_Institution
    Instut de genie biomedical, University of Montreal, Quebec, Canada H3C 3J7
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    2554
  • Lastpage
    2557
  • Abstract
    Today, different ways are suggested to help elderly people in case of emergency. Our aim here is to propose a novel method, without any wearable device, to detect falls on the floor with a multiple cameras system. This proposal uses image analysis to localise people and reconstruct their 3D shape and position. The particularity of this contribution is the use of cameras sharing a large common field of view. Experimental results obtained with 14 different fall scenarios and 14 normal daily activities showed a 100% fall detection efficiency.
  • Keywords
    Calibration; Cameras; Detectors; Emergency services; Image analysis; Image reconstruction; Optical distortion; Proposals; Senior citizens; Shape; Acceleration; Accidental Falls; Activities of Daily Living; Algorithms; Computer Simulation; Equipment Design; Equipment Failure Analysis; Humans; Monitoring, Ambulatory; Reproducibility of Results; Telemetry; Transducers; Video Recording;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4649721
  • Filename
    4649721