A WIRELESS APPROACH TO DEVICE-FREE LOCALISATION (DFL) FOR INDOOR ENVIRONMENTS

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Determining the location of individuals within indoor locations can be useful in various scenarios including security, gaming and ambient assisted living 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. Technology to determine an individual’s movements or lack of movement is key to ensuring that home emergencies are detected and responded to promptly. This paper proposes a device-free wireless-based localisation (DFL) system which would enable the individual to proceed with normal daily activities without the constraint of having to wear a traceable device. The principal behind this is that the human body absorbs/reflects the radio signal being transmitted from a transmitter to one or more receiving stations. The system design procedure facilitates the use of a minimum number of wireless nodes with the aid of a principle component analysis (PCA) based intelligent signal processing technique. Results demonstrate that human detection and tracking are possible to within 1m resolutions with a minimal wireless hardware infrastructure.
LanguageEnglish
Title of host publicationUnknown Host Publication
Number of pages6
Publication statusPublished - 2011
EventAssisted Living 6 April 2011 IET London: Savoy Place, UK -
Duration: 1 Jan 2011 → …

Conference

ConferenceAssisted Living 6 April 2011 IET London: Savoy Place, UK
Period1/01/11 → …

Fingerprint

Transmitters
Signal processing
Systems analysis
Wear of materials
Hardware
Assisted living

Cite this

@inproceedings{afe06af5b6fd4e61a72d3bf1c84da3dd,
title = "A WIRELESS APPROACH TO DEVICE-FREE LOCALISATION (DFL) FOR INDOOR ENVIRONMENTS",
abstract = "Determining the location of individuals within indoor locations can be useful in various scenarios including security, gaming and ambient assisted living 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. Technology to determine an individual’s movements or lack of movement is key to ensuring that home emergencies are detected and responded to promptly. This paper proposes a device-free wireless-based localisation (DFL) system which would enable the individual to proceed with normal daily activities without the constraint of having to wear a traceable device. The principal behind this is that the human body absorbs/reflects the radio signal being transmitted from a transmitter to one or more receiving stations. The system design procedure facilitates the use of a minimum number of wireless nodes with the aid of a principle component analysis (PCA) based intelligent signal processing technique. Results demonstrate that human detection and tracking are possible to within 1m resolutions with a minimal wireless hardware infrastructure.",
author = "PJ Vance and G Prasad and JG Harkin and K Curran",
year = "2011",
language = "English",
booktitle = "Unknown Host Publication",

}

Vance, PJ, Prasad, G, Harkin, JG & Curran, K 2011, A WIRELESS APPROACH TO DEVICE-FREE LOCALISATION (DFL) FOR INDOOR ENVIRONMENTS. in Unknown Host Publication. Assisted Living 6 April 2011 IET London: Savoy Place, UK, 1/01/11.

A WIRELESS APPROACH TO DEVICE-FREE LOCALISATION (DFL) FOR INDOOR ENVIRONMENTS. / Vance, PJ; Prasad, G; Harkin, JG; Curran, K.

Unknown Host Publication. 2011.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - A WIRELESS APPROACH TO DEVICE-FREE LOCALISATION (DFL) FOR INDOOR ENVIRONMENTS

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AU - Prasad, G

AU - Harkin, JG

AU - Curran, K

PY - 2011

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N2 - Determining the location of individuals within indoor locations can be useful in various scenarios including security, gaming and ambient assisted living 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. Technology to determine an individual’s movements or lack of movement is key to ensuring that home emergencies are detected and responded to promptly. This paper proposes a device-free wireless-based localisation (DFL) system which would enable the individual to proceed with normal daily activities without the constraint of having to wear a traceable device. The principal behind this is that the human body absorbs/reflects the radio signal being transmitted from a transmitter to one or more receiving stations. The system design procedure facilitates the use of a minimum number of wireless nodes with the aid of a principle component analysis (PCA) based intelligent signal processing technique. Results demonstrate that human detection and tracking are possible to within 1m resolutions with a minimal wireless hardware infrastructure.

AB - Determining the location of individuals within indoor locations can be useful in various scenarios including security, gaming and ambient assisted living 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. Technology to determine an individual’s movements or lack of movement is key to ensuring that home emergencies are detected and responded to promptly. This paper proposes a device-free wireless-based localisation (DFL) system which would enable the individual to proceed with normal daily activities without the constraint of having to wear a traceable device. The principal behind this is that the human body absorbs/reflects the radio signal being transmitted from a transmitter to one or more receiving stations. The system design procedure facilitates the use of a minimum number of wireless nodes with the aid of a principle component analysis (PCA) based intelligent signal processing technique. Results demonstrate that human detection and tracking are possible to within 1m resolutions with a minimal wireless hardware infrastructure.

M3 - Conference contribution

BT - Unknown Host Publication

ER -