Table of Contents Author Guidelines Submit a Manuscript
International Journal of Telemedicine and Applications
Volume 2008 (2008), Article ID 142803, 9 pages
Research Article

Location Estimation in a Smart Home: System Implementation and Evaluation Using Experimental Data

Laboratoire DOMUS, Université de Sherbrooke, 2500 boulevard de l'Université, Sherbrooke, QC, Canada J1K 2R1

Received 5 September 2007; Accepted 6 February 2008

Academic Editor: Frédérique Laforest

Copyright © 2008 Youcef Rahal et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


In the context of a constantly increasing aging population with cognitive deficiencies, insuring the autonomy of the elders at home becomes a priority. The DOMUS laboratory is addressing this issue by conceiving a smart home which can both assist people and preserve their quality of life. Obviously, the ability to monitor properly the occupant’s activities and thus provide the pertinent assistance depends highly on location information inside the smart home. This paper proposes a solution to localize the occupant thanks to Bayesian filtering and a set of anonymous sensors disseminated throughout the house. The localization system is designed for a single person inside the house. It could however be used in conjunction with other localization systems in case more people are present. Our solution is functional in real conditions. We conceived an experiment to estimate precisely its accuracy and evaluate its robustness. The experiment consists of a scenario of daily routine meant to maximize the occupant’s motion in meaningful activities. It was performed by 14 subjects, one subject at a time. The results are satisfactory: the system’s accuracy exceeds 85% and is independent of the occupant’s profile. The system works in real time and behaves well in presence of noise.