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

Authors

Montserrat Ros, University of WollongongFollow
Brendan Schoots, University of WollongongFollow
Matthew D'Souza, University Of QueenslandFollow

RIS ID

76374

Publication Details

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

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.