• DocumentCode
    3131728
  • Title

    Analysis of device-free localisation (DFL) techniques for indoor environments

  • Author

    Vance, Philip ; Prasad, Girijesh ; Harkin, Jim ; Curran, Kevin

  • Author_Institution
    Intelligent Systems Research Centre, University of Ulster, Magee College, Derry, N. Ireland, BT48 7JL
  • fYear
    2010
  • fDate
    23-24 June 2010
  • Firstpage
    76
  • Lastpage
    81
  • Abstract
    Determining the location of individuals within indoor locations can be useful in various scenarios including security, gaming and home assistance. The domain of home assistance also includes caring for the elderly. Healthcare services globally are seeking to allow people to stay in their familiar home environments longer due to the multitude of benefits associated with living in non-clinical environments and technologies to determine an individual´s movements are key to ensuring home emergencies detected through lack of movement can be responded to promptly. This paper proposes a device-free technique which would enable the individual to proceed with normal daily activities without the concern of having to wear a traceable device. The principle behind this is that the human body will absorb/reflect the signal being transmitted from a transmitter to one or more monitoring stations. Results are presented which demonstrate that human detection and tracking is possible to within 1.5m resolution.
  • Keywords
    Ambient Living; Device-free; Localisation; Neural Networks; Wireless;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Signals and Systems Conference (ISSC 2010), IET Irish
  • Conference_Location
    Cork
  • Type

    conf

  • DOI
    10.1049/cp.2010.0491
  • Filename
    5638441