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Ambient Assistive Health and Wellness Management in the Heart of the City

Volume 5597 of the series Lecture Notes in Computer Science pp 294-298

Spatiotemporal Data Acquisition Modalities for Smart Home Inhabitant Movement Behavioural Analysis

  • Michael P. PolandAffiliated withComputer Science Research Institute and School of Computing and Mathematics, University of Ulster
  • , Daniel GueldenringAffiliated withComputer Science Research Institute and School of Computing and Mathematics, University of Ulster
  • , Chris NugentAffiliated withComputer Science Research Institute and School of Computing and Mathematics, University of Ulster
  • , Hui WangAffiliated withComputer Science Research Institute and School of Computing and Mathematics, University of Ulster
  • , Liming ChenAffiliated withComputer Science Research Institute and School of Computing and Mathematics, University of Ulster

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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.

Keywords

Smart Homes pressure sensors virtual sensors video analysis