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Indoor wireless localisation network using a mobile phone interface

Conference Paper


Abstract


  • In recent years, indoor localisation and movement tracking of people and objects has generated interest for a

    variety of applications ranging from transport to health care. We present a localisation network designed to

    track people in an indoor environment. The localisation network consists of static nodes placed at

    predetermined locations in a building. Users carry a mobile node to track their current position. The mobile

    node has onboard motion sensors to detect a person’s heading direction and motion state. A dynamic

    tracking mode was used to determine a person’s position. The dynamic tracking model was implemented

    using a Multi-Hypothesis Estimation algorithm. The dynamic tracking model determines the mobile node’s

    position by using the mobile node’s proximity to static nodes, mobile node’s motion sensor information and

    the building’s floor-plan. We found that by using a multi-hypothesis estimation algorithm, robust

    localisation accuracy, could be achieved in real-time. The position resolution of the localisation network

    was found to have a maximum error between 1m and 3.5m. Further work involves extensive testing the

    localisation network with multiple mobile nodes and over a larger test region. Other areas involve

    investigating how multiple mobile nodes placed on a user can be used to improve the estimate of the user’s

    position.

UOW Authors


  •   D'Souza, Matthew (external author)
  •   Ros, Montserrat
  •   Postula, Adam (external author)

Publication Date


  • 2009

Citation


  • D''Souza, M., Ros, M. & Postula, A. 2009, ''Indoor wireless localisation network using a mobile phone interface'', in M. Obaidat, & R. Caldeirinha (eds), International Conference on Wireless Information Networks and Systems, INSTICC, Portugal, pp. 45-50.

Scopus Eid


  • 2-s2.0-74549179016

Ro Metadata Url


  • http://ro.uow.edu.au/engpapers/5477

Start Page


  • 45

End Page


  • 50

Place Of Publication


  • Portugal

Abstract


  • In recent years, indoor localisation and movement tracking of people and objects has generated interest for a

    variety of applications ranging from transport to health care. We present a localisation network designed to

    track people in an indoor environment. The localisation network consists of static nodes placed at

    predetermined locations in a building. Users carry a mobile node to track their current position. The mobile

    node has onboard motion sensors to detect a person’s heading direction and motion state. A dynamic

    tracking mode was used to determine a person’s position. The dynamic tracking model was implemented

    using a Multi-Hypothesis Estimation algorithm. The dynamic tracking model determines the mobile node’s

    position by using the mobile node’s proximity to static nodes, mobile node’s motion sensor information and

    the building’s floor-plan. We found that by using a multi-hypothesis estimation algorithm, robust

    localisation accuracy, could be achieved in real-time. The position resolution of the localisation network

    was found to have a maximum error between 1m and 3.5m. Further work involves extensive testing the

    localisation network with multiple mobile nodes and over a larger test region. Other areas involve

    investigating how multiple mobile nodes placed on a user can be used to improve the estimate of the user’s

    position.

UOW Authors


  •   D'Souza, Matthew (external author)
  •   Ros, Montserrat
  •   Postula, Adam (external author)

Publication Date


  • 2009

Citation


  • D''Souza, M., Ros, M. & Postula, A. 2009, ''Indoor wireless localisation network using a mobile phone interface'', in M. Obaidat, & R. Caldeirinha (eds), International Conference on Wireless Information Networks and Systems, INSTICC, Portugal, pp. 45-50.

Scopus Eid


  • 2-s2.0-74549179016

Ro Metadata Url


  • http://ro.uow.edu.au/engpapers/5477

Start Page


  • 45

End Page


  • 50

Place Of Publication


  • Portugal