annals of telecommunications - annales des télécommunications

, Volume 65, Issue 9, pp 557–570

Spatial-frequency data acquisition using rotational invariant pattern matching in smart environments

Authors

    • Computer Science Research Institute and School of Computing and Mathematics, Faculty of Computing and EngineeringUniversity of Ulster
  • Chris D. Nugent
    • Computer Science Research Institute and School of Computing and Mathematics, Faculty of Computing and EngineeringUniversity of Ulster
  • Hui Wang
    • Computer Science Research Institute and School of Computing and Mathematics, Faculty of Computing and EngineeringUniversity of Ulster
  • Liming Chen
    • Computer Science Research Institute and School of Computing and Mathematics, Faculty of Computing and EngineeringUniversity of Ulster
Article

DOI: 10.1007/s12243-010-0172-4

Cite this article as:
Poland, M.P., Nugent, C.D., Wang, H. et al. Ann. Telecommun. (2010) 65: 557. doi:10.1007/s12243-010-0172-4
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Abstract

This article details the development and testing of an empirical data capture system with the ability to collect spatial-frequency statistics relating to the movement behaviour of a smart home inhabitant. This is achieved using a greyscale normalised cross-correlation pattern matching algorithm. Environmental obstructions on the floor space can also be inferred from a visual representation of the accumulated data. Whilst this methodology itself is not novel, its application to person tracking specifically within a smart home environment does not appear in the literature and is considered a novel approach. The results of tests performed on the pattern matching technique show a tracking competency rate of 94.45% with a standard deviation of 0.009027, indicating high fidelity across a wide variety of environmental factors.

Keywords

Human positioningIndoor trackingPattern matchingSmart environments

Copyright information

© Institut Télécom and Springer-Verlag 2010