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Designing a Compact Wireless Network based Device-free Passive Localisation System for Indoor Environments

Designing a Compact Wireless Network based Device-free Passive Localisation System for Indoor Environments

Philip Vance, Girijesh Prasad, Jim Harkin, Kevin Curran
Copyright: © 2015 |Volume: 4 |Issue: 2 |Pages: 16
ISSN: 2155-6261|EISSN: 2155-627X|EISBN13: 9781466679863|DOI: 10.4018/IJWNBT.2015040103
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MLA

Vance, Philip, et al. "Designing a Compact Wireless Network based Device-free Passive Localisation System for Indoor Environments." IJWNBT vol.4, no.2 2015: pp.28-43. http://doi.org/10.4018/IJWNBT.2015040103

APA

Vance, P., Prasad, G., Harkin, J., & Curran, K. (2015). Designing a Compact Wireless Network based Device-free Passive Localisation System for Indoor Environments. International Journal of Wireless Networks and Broadband Technologies (IJWNBT), 4(2), 28-43. http://doi.org/10.4018/IJWNBT.2015040103

Chicago

Vance, Philip, et al. "Designing a Compact Wireless Network based Device-free Passive Localisation System for Indoor Environments," International Journal of Wireless Networks and Broadband Technologies (IJWNBT) 4, no.2: 28-43. http://doi.org/10.4018/IJWNBT.2015040103

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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 and technologies to determine an individual's movements are key to ensuring that home emergencies are detected through lack of movement can be responded to promptly. This paper proposes a device-free localisation (DFL) system 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 absorbs/reflects the radio signal being transmitted from a transmitter to one or more receiving stations. The proposed system design procedure facilitates the use of a minimum number of wireless nodes with the help of a principle component analysis (PCA) based intelligent signal processing technique. Results demonstrate that human detection and tracking are possible to within 1m resolution with a minimal hardware infrastructure.

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