AN INDOOR LOCALIZATION ALGORITHM BASED IN WEIBULL DISTRIBUTION AND BAYESIAN CLASSIFIER

S. Orozco-Ochoa, X. A. Vila-Sobrino, I. Gómez-Conde, M. J. Lado

Abstract

The location of objects and people by the use of Global Positioning System (GPS) or Global System for Mobile Communications (GSM) network is increasingly used to provide location-based services. These technologies work well outdoors and when the required accuracy is not very high, up to 10 meters. This paper describes an algorithm for monitoring elderly people at home, by continuously taking its position, which uses the RSS information exchanged between Bluetooth devices, Weibull distributions and Bayesian classifiers. This algorithm has been validated in a real environment, an area of 13 x 12 meters, with several rooms and corridors, where zones of approximately 6 square meters have been delimited. Our algorithm achieved a rate of correct detections of 91.875%.

References

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Paper Citation


in Harvard Style

Orozco-Ochoa S., A. Vila-Sobrino X., Gómez-Conde I. and J. Lado M. (2012). AN INDOOR LOCALIZATION ALGORITHM BASED IN WEIBULL DISTRIBUTION AND BAYESIAN CLASSIFIER . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012) ISBN 978-989-8425-89-8, pages 338-341. DOI: 10.5220/0003742203380341


in Bibtex Style

@conference{biosignals12,
author={S. Orozco-Ochoa and X. A. Vila-Sobrino and I. Gómez-Conde and M. J. Lado},
title={AN INDOOR LOCALIZATION ALGORITHM BASED IN WEIBULL DISTRIBUTION AND BAYESIAN CLASSIFIER},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)},
year={2012},
pages={338-341},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003742203380341},
isbn={978-989-8425-89-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)
TI - AN INDOOR LOCALIZATION ALGORITHM BASED IN WEIBULL DISTRIBUTION AND BAYESIAN CLASSIFIER
SN - 978-989-8425-89-8
AU - Orozco-Ochoa S.
AU - A. Vila-Sobrino X.
AU - Gómez-Conde I.
AU - J. Lado M.
PY - 2012
SP - 338
EP - 341
DO - 10.5220/0003742203380341