Authors:
Matthew D’Souza
1
;
Montserrat Ros
2
and
Adam Postula
3
Affiliations:
1
Autonomous Systems Laboratory, Australia
;
2
University of Wollongong, Australia
;
3
The University of Queensland, Australia
Keyword(s):
Indoor Localisation, Wireless Sensor Network, Mobile Phone.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Biomedical Instruments and Devices
;
Emerging Technologies
;
Mobile Ad-Hoc and Sensor Networks
;
Mobile Software and Services
;
Sensor, Mesh and Ad Hoc Communications and Networks
;
Software for Wireless Location Systems
;
Telecommunications
;
Testbeds and Deployment
;
Wearable Computers
;
Wireless and Mobile Technologies
;
Wireless Information Networks and Systems
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 posit
ion 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.
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