• DocumentCode
    2723252
  • Title

    Automatic Fall Detection Using Mobile Devices

  • Author

    Mulcahy, Melissa K. ; Kurkovsky, Stan

  • Author_Institution
    Dept. of Comput. Sci., Central Connecticut State Univ., New Britain, CT, USA
  • fYear
    2015
  • fDate
    13-15 April 2015
  • Firstpage
    586
  • Lastpage
    588
  • Abstract
    Mobile devices are becoming an integrated part of every person´s lives regardless of age. This paper discusses the methodology behind developing an application for mobile devices that can determine if a person has fallen. The results of the experiments demonstrate promising hands-free responses to the smartphone user falling as compared to other systems like Life Alert®.
  • Keywords
    health care; mobile computing; smart phones; user interfaces; automatic fall detection; hands-free responses; mobile devices; smartphone user falling; Acceleration; Accelerometers; Accidents; Floors; Injuries; Mobile handsets; Vehicles; Android; accelerometers; algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology - New Generations (ITNG), 2015 12th International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4799-8827-3
  • Type

    conf

  • DOI
    10.1109/ITNG.2015.98
  • Filename
    7113536
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2723252