In this paper, we present a novel probabilistic technique, based on the Bayes filter, able to estimate the user location, even with unreliable sensor data coming only from fixed sensors in the monitored environment. Our approach has been extensively tested in a home-like environment, as well as in a real home, and achieves very good results. We present results on two datasets, representative of real life conditions, collected during the testing phase. We detect the patient location with subroom accuracy, an improvement over the state of the art for localization using only environmental sensors. The main drawback is that it is only suitable for applications where a single person is present in the environment, like as with other approaches that do not use any mobile device. For this reason, we introduced the 'telehomecare' term, therefore differentiating from generic telemedicine applications, where many people can be in the same environment at the same time.

Ballardini, A., Ferretti, L., Fontana, S., Furlan, A., Sorrenti, D. (2016). An Indoor Localization System for Telehomecare Applications. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 46(10), 1445-1455 [10.1109/TSMC.2015.2503339].

An Indoor Localization System for Telehomecare Applications

BALLARDINI, AUGUSTO LUIS;FONTANA, SIMONE
Primo
;
FURLAN, AXEL;SORRENTI, DOMENICO GIORGIO
2016

Abstract

In this paper, we present a novel probabilistic technique, based on the Bayes filter, able to estimate the user location, even with unreliable sensor data coming only from fixed sensors in the monitored environment. Our approach has been extensively tested in a home-like environment, as well as in a real home, and achieves very good results. We present results on two datasets, representative of real life conditions, collected during the testing phase. We detect the patient location with subroom accuracy, an improvement over the state of the art for localization using only environmental sensors. The main drawback is that it is only suitable for applications where a single person is present in the environment, like as with other approaches that do not use any mobile device. For this reason, we introduced the 'telehomecare' term, therefore differentiating from generic telemedicine applications, where many people can be in the same environment at the same time.
Articolo in rivista - Articolo scientifico
Indoor localization; motion sensor; smart home; telehomecare; wireless sensor network;
Indoor localization; motion sensor; smart home; telehomecare; wireless sensor network; Control and Systems Engineering; Software; Human-Computer Interaction; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic Engineering
English
1445
1455
11
Ballardini, A., Ferretti, L., Fontana, S., Furlan, A., Sorrenti, D. (2016). An Indoor Localization System for Telehomecare Applications. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 46(10), 1445-1455 [10.1109/TSMC.2015.2503339].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/141928
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