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Wireless indoor localisation using received signal strength fingerprinting with context aware partitioning

Conference Paper


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Abstract


  • Real-time indoor localisation tracking of people with unobtrusive, wearable sensors has valuable

    potential for a variety of applications such as remote monitoring and tracking of aged-care

    patients to improve their safety and other care aspects. There are no widely available or costeffective

    and ubiquitous wireless solutions like GPS for indoor localisation which require no

    prior infrastructure. Indoor localisation systems are available but most have difficulties operating

    in confined spaces or cannot localise to within small distances in real-time for moving objects as

    required for sport and health applications.

UOW Authors


  •   Ros, Montserrat
  •   Schoots, Brendan (external author)
  •   D'Souza, Matthew (external author)

Publication Date


  • 2012

Citation


  • M. Ros, B. Schoots & M. D'Souza, "Wireless indoor localisation using received signal strength fingerprinting with context aware partitioning," in Wireless Information Technology and Systems (ICWITS), 2012 IEEE International Conference on, 2012, pp. 1-4.

Scopus Eid


  • 2-s2.0-84874263859

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1491&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/486

Start Page


  • 1

End Page


  • 4

Place Of Publication


  • USA

Abstract


  • Real-time indoor localisation tracking of people with unobtrusive, wearable sensors has valuable

    potential for a variety of applications such as remote monitoring and tracking of aged-care

    patients to improve their safety and other care aspects. There are no widely available or costeffective

    and ubiquitous wireless solutions like GPS for indoor localisation which require no

    prior infrastructure. Indoor localisation systems are available but most have difficulties operating

    in confined spaces or cannot localise to within small distances in real-time for moving objects as

    required for sport and health applications.

UOW Authors


  •   Ros, Montserrat
  •   Schoots, Brendan (external author)
  •   D'Souza, Matthew (external author)

Publication Date


  • 2012

Citation


  • M. Ros, B. Schoots & M. D'Souza, "Wireless indoor localisation using received signal strength fingerprinting with context aware partitioning," in Wireless Information Technology and Systems (ICWITS), 2012 IEEE International Conference on, 2012, pp. 1-4.

Scopus Eid


  • 2-s2.0-84874263859

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1491&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/486

Start Page


  • 1

End Page


  • 4

Place Of Publication


  • USA