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Spatiotemporal Data Acquisition Modalities for Smart Home Inhabitant Movement Behavioural Analysis

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Poland, Michael P., Gueldenring, Daniel, Nugent, CD, Wang, H and Chen, Luke (2009) Spatiotemporal Data Acquisition Modalities for Smart Home Inhabitant Movement Behavioural Analysis. In: 7th International Conference on Smart homes and health Telematics, Tours, France. UNSPECIFIED. 5 pp. [Conference contribution]

Full text not available from this repository.

URL: http://dx.doi.org/10.1007/978-3-642-02868-7_45

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

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.

Item Type:Conference contribution (Poster)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
Computer Science Research Institute > Smart Environments
ID Code:9771
Deposited By:Professor Christopher Nugent
Deposited On:29 Jan 2010 14:07
Last Modified:29 Jan 2010 14:07

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