Spatiotemporal Data Acquisition Modalities for Smart Home Inhabitant Movement Behavioural Analysis

Michael P. Poland; Daniel Gueldenring; CD Nugent; H Wang; Luke Chen

doi:10.1007/978-3-642-02868-7_45

Spatiotemporal Data Acquisition Modalities for Smart Home Inhabitant Movement Behavioural Analysis

Michael P. Poland, Daniel Gueldenring, CD Nugent, H Wang, Luke Chen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

In current Smart Home implementations pressure sensors within the environment are normally deployed in a uniform pattern. Nevertheless, in order to create an optimised pressure sensor deployment paradigm it is necessary to correlate the positions of sensors with the high frequency movement behaviours of the inhabitant. The locations of furniture and other objects in the environment should also be taken into consideration. To create a paradigm for optimised sensor deployment, data pertaining to inhabitant movement behaviour first needs to be collected. This paper outlines the evaluation of two movement behaviour capture methods and assesses them for practical issues such as ease of installation and feasibility of use.

Original language	English
Title of host publication	Unknown Host Publication
Pages	294-298
Number of pages	5
DOIs	https://doi.org/10.1007/978-3-642-02868-7_45
Publication status	Published (in print/issue) - 2009
Event	7th International Conference on Smart homes and health telematics - Tours, France Duration: 1 Jan 2009 → …

Conference

Conference	7th International Conference on Smart homes and health telematics
Period	1/01/09 → …

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10.1007/978-3-642-02868-7_45

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title = "Spatiotemporal Data Acquisition Modalities for Smart Home Inhabitant Movement Behavioural Analysis",

abstract = "In current Smart Home implementations pressure sensors within the environment are normally deployed in a uniform pattern. Nevertheless, in order to create an optimised pressure sensor deployment paradigm it is necessary to correlate the positions of sensors with the high frequency movement behaviours of the inhabitant. The locations of furniture and other objects in the environment should also be taken into consideration. To create a paradigm for optimised sensor deployment, data pertaining to inhabitant movement behaviour first needs to be collected. This paper outlines the evaluation of two movement behaviour capture methods and assesses them for practical issues such as ease of installation and feasibility of use.",

author = "Poland, {Michael P.} and Daniel Gueldenring and CD Nugent and H Wang and Luke Chen",

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AU - Poland, Michael P.

AU - Gueldenring, Daniel

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AU - Wang, H

AU - Chen, Luke

PY - 2009

Y1 - 2009

N2 - In current Smart Home implementations pressure sensors within the environment are normally deployed in a uniform pattern. Nevertheless, in order to create an optimised pressure sensor deployment paradigm it is necessary to correlate the positions of sensors with the high frequency movement behaviours of the inhabitant. The locations of furniture and other objects in the environment should also be taken into consideration. To create a paradigm for optimised sensor deployment, data pertaining to inhabitant movement behaviour first needs to be collected. This paper outlines the evaluation of two movement behaviour capture methods and assesses them for practical issues such as ease of installation and feasibility of use.

AB - In current Smart Home implementations pressure sensors within the environment are normally deployed in a uniform pattern. Nevertheless, in order to create an optimised pressure sensor deployment paradigm it is necessary to correlate the positions of sensors with the high frequency movement behaviours of the inhabitant. The locations of furniture and other objects in the environment should also be taken into consideration. To create a paradigm for optimised sensor deployment, data pertaining to inhabitant movement behaviour first needs to be collected. This paper outlines the evaluation of two movement behaviour capture methods and assesses them for practical issues such as ease of installation and feasibility of use.

U2 - 10.1007/978-3-642-02868-7_45

DO - 10.1007/978-3-642-02868-7_45

M3 - Conference contribution

SN - 978-3-642-02867-0

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EP - 298

BT - Unknown Host Publication

T2 - 7th International Conference on Smart homes and health telematics

Y2 - 1 January 2009

ER -

Spatiotemporal Data Acquisition Modalities for Smart Home Inhabitant Movement Behavioural Analysis

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