Authors:
S. Orozco-Ochoa
;
X. A. Vila-Sobrino
;
I. Gómez-Conde
and
M. J. Lado
Affiliation:
Universidade de Vigo, Spain
Keyword(s):
Bluetooth, Received Signal Strength, Indoor Positioning, Weibull, Bayes, RSS.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Biomedical Signal Processing
;
Detection and Identification
;
Devices
;
Health Information Systems
;
Human-Computer Interaction
;
Physiological Computing Systems
;
Wearable Sensors and Systems
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%.