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
Link To Document :
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