• DocumentCode
    3685184
  • Title

    Context aware falls risk assessment: A case study comparison

  • Author

    Brenda Reginatto;Kenneth Taylor;Matthew R Patterson;Dermot Power;Yusuke Komaba;Kazuho Maeda;Akihiro Inomata;Brian Caulfield

  • Author_Institution
    Insight Centre for Data Analytics at University College Dublin, Belfield, 4, Ireland
  • fYear
    2015
  • Firstpage
    5477
  • Lastpage
    5480
  • Abstract
    This paper describes three retrospective case studies to illustrate the potential clinical value of a system capable of capturing objective gait metrics and environment data from older adults with a history of falls while they go about their daily lives. Participants in this study wore an inertial sensor above each ankle and a wearable camera around their neck for seven consecutive days. Selected metrics are presented to illustrate scenarios where the data collected by the system could be of clinical value. Evidence suggests that obtaining objective gait metrics and environment data from older adults may not only allow healthcare professionals to assess gait more accurately, but also to design treatment plans and falls prevention strategies that are more specifically tailored to each individual.
  • Keywords
    "Legged locomotion","Measurement","Medical services","History","Cameras","Aging","Wearable sensors"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7319631
  • Filename
    7319631