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Author Medjahed, H. ♦ Istrate, D. ♦ Boudy, J. ♦ Dorizzi, B.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2009
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Humans ♦ Fuzzy logic ♦ Senior citizens ♦ Sensor phenomena and characterization ♦ Infrared sensors ♦ Intelligent sensors ♦ Sensor systems ♦ Sensor fusion ♦ Biomedical monitoring ♦ Frequency
Abstract Learning and recognizing human activities of daily living(ADL), is very useful and essential to build a pervasive home monitoring system. These monitoring technologies are indispensable for developing the next generation of smart houses. In this paper we describe a fuzzy logic system for recognizing activities in home environment using a set of sensors: physiological sensors (cardiac frequency, activity or agitation, posture and fall detection sensor), microphones, infrared sensors, debit sensors and state-change sensors. Motivated by the fact that Fuzzy controllers have been successfully embedded within billions of dollars in commercial products, plus the characteristic of data providing from each sensor, the fusion of the different sensors has been performed by using fuzzy logic. This fuzzy logic approach allowed us to recognize several Activities of Daily Living (ADLs) for Ubiquitous Healthcare.
Description Author affiliation: LRIT laboratory, ESIGETEL, 1 rue du Port de Valvins, 77215, Avon-Fontainebleau cedex, France (Medjahed, H.; Istrate, D.) || Department of Electronics and Physics (EPH), Telecom Sud Paris, 9 rue Charles Fourier, 91011 Evry, France (Boudy, J.; Dorizzi, B.)
ISBN 9781424435968
ISSN 10987584
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2009-08-20
Publisher Place South Korea
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 490.52 kB
Page Count 6
Starting Page 2001
Ending Page 2006


Source: IEEE Xplore Digital Library