Spatiotemporal Data Acquisition Modalities for Smart Home Inhabitant Movement Behavioural Analysis

  • Michael P. Poland
  • Daniel Gueldenring
  • Chris Nugent
  • Hui Wang
  • Liming Chen
Conference paper

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

Volume 5597 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Poland M.P., Gueldenring D., Nugent C., Wang H., Chen L. (2009) Spatiotemporal Data Acquisition Modalities for Smart Home Inhabitant Movement Behavioural Analysis. In: Mokhtari M., Khalil I., Bauchet J., Zhang D., Nugent C. (eds) Ambient Assistive Health and Wellness Management in the Heart of the City. ICOST 2009. Lecture Notes in Computer Science, vol 5597. Springer, Berlin, Heidelberg

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 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Michael P. Poland
    • 1
  • Daniel Gueldenring
    • 1
  • Chris Nugent
    • 1
  • Hui Wang
    • 1
  • Liming Chen
    • 1
  1. 1.Computer Science Research Institute and School of Computing and MathematicsUniversity of UlsterNorthern Ireland