Human activities of daily living recognition using fuzzy logic for elderly home monitoring

Hamid Medjahed; Dan Istrate; Jerome Boudy; Bernadette Dorizzi

doi:10.1109/FUZZY.2009.5277257

Human activities of daily living recognition using fuzzy logic for elderly home monitoring

Hamid Medjahed
, Dan Istrate
, Jerome Boudy
, Bernadette Dorizzi

LRIT Laboratory
ESIGETEL
CNRS SAMOVAR UMR 5157

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

117 Citations (Scopus)

Résumé

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.

langue originale	Anglais
titre	2009 IEEE International Conference on Fuzzy Systems - Proceedings
Editeur	Institute of Electrical and Electronics Engineers Inc.
Pages	2001-2006
Nombre de pages	6
ISBN (imprimé)	9781424435975
Les DOIs	https://doi.org/10.1109/FUZZY.2009.5277257
état	Publié - 1 janv. 2009
Modification externe	Oui
Evénement	18th IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2009 - Jeju Island, Corée du Sud Durée: 20 août 2009 → 24 août 2009

Série de publications

Nom	IEEE International Conference on Fuzzy Systems
ISSN (imprimé)	1098-7584

Une conférence

Une conférence	18th IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2009
Pays/Territoire	Corée du Sud
La ville	Jeju Island
période	20/08/09 → 24/08/09

SDG des Nations Unies

Ce résultat contribue à ou aux Objectifs de développement durable suivants

SDG 3 Bonne santé et bien-être

Accès au document

10.1109/FUZZY.2009.5277257

Contient cette citation

Medjahed, H., Istrate, D., Boudy, J., & Dorizzi, B. (2009). Human activities of daily living recognition using fuzzy logic for elderly home monitoring. Dans 2009 IEEE International Conference on Fuzzy Systems - Proceedings (p. 2001-2006). Article 5277257 (IEEE International Conference on Fuzzy Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FUZZY.2009.5277257

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title = "Human activities of daily living recognition using fuzzy logic for elderly home monitoring",

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.",

author = "Hamid Medjahed and Dan Istrate and Jerome Boudy and Bernadette Dorizzi",

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doi = "10.1109/FUZZY.2009.5277257",

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Medjahed, H, Istrate, D, Boudy, J & Dorizzi, B 2009, Human activities of daily living recognition using fuzzy logic for elderly home monitoring. Dans 2009 IEEE International Conference on Fuzzy Systems - Proceedings., 5277257, IEEE International Conference on Fuzzy Systems, Institute of Electrical and Electronics Engineers Inc., p. 2001-2006, 18th IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2009, Jeju Island, Corée du Sud, 20/08/09. https://doi.org/10.1109/FUZZY.2009.5277257

Human activities of daily living recognition using fuzzy logic for elderly home monitoring. / Medjahed, Hamid; Istrate, Dan; Boudy, Jerome et al.
2009 IEEE International Conference on Fuzzy Systems - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2009. p. 2001-2006 5277257 (IEEE International Conference on Fuzzy Systems).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

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N2 - 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.

AB - 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.

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Medjahed H, Istrate D, Boudy J, Dorizzi B. Human activities of daily living recognition using fuzzy logic for elderly home monitoring. Dans 2009 IEEE International Conference on Fuzzy Systems - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2009. p. 2001-2006. 5277257. (IEEE International Conference on Fuzzy Systems). doi: 10.1109/FUZZY.2009.5277257

Human activities of daily living recognition using fuzzy logic for elderly home monitoring

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