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

ESIGETEL
CNRS SAMOVAR UMR 5157

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

116 Citations (Scopus)

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.

Original language	English
Title of host publication	2009 IEEE International Conference on Fuzzy Systems - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2001-2006
Number of pages	6
ISBN (Print)	9781424435975
DOIs	https://doi.org/10.1109/FUZZY.2009.5277257
Publication status	Published - 1 Jan 2009
Externally published	Yes
Event	18th IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2009 - Jeju Island, Korea, Republic of Duration: 20 Aug 2009 → 24 Aug 2009

Publication series

Name	IEEE International Conference on Fuzzy Systems
ISSN (Print)	1098-7584

Conference

Conference	18th IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2009
Country/Territory	Korea, Republic of
City	Jeju Island
Period	20/08/09 → 24/08/09

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1109/FUZZY.2009.5277257

Cite this

Medjahed, H., Istrate, D., Boudy, J., & Dorizzi, B. (2009). Human activities of daily living recognition using fuzzy logic for elderly home monitoring. In 2009 IEEE International Conference on Fuzzy Systems - Proceedings (pp. 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",

year = "2009",

month = jan,

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doi = "10.1109/FUZZY.2009.5277257",

language = "English",

isbn = "9781424435975",

series = "IEEE International Conference on Fuzzy Systems",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2009 IEEE International Conference on Fuzzy Systems - Proceedings",

note = "18th IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2009 ; Conference date: 20-08-2009 Through 24-08-2009",

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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. in 2009 IEEE International Conference on Fuzzy Systems - Proceedings., 5277257, IEEE International Conference on Fuzzy Systems, Institute of Electrical and Electronics Engineers Inc., pp. 2001-2006, 18th IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2009, Jeju Island, Korea, Republic of, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Istrate, Dan

AU - Boudy, Jerome

AU - Dorizzi, Bernadette

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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.

U2 - 10.1109/FUZZY.2009.5277257

DO - 10.1109/FUZZY.2009.5277257

M3 - Conference contribution

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SN - 9781424435975

T3 - IEEE International Conference on Fuzzy Systems

SP - 2001

EP - 2006

BT - 2009 IEEE International Conference on Fuzzy Systems - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 20 August 2009 through 24 August 2009

ER -

Medjahed H, Istrate D, Boudy J, Dorizzi B. Human activities of daily living recognition using fuzzy logic for elderly home monitoring. In 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

Abstract

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Conference

UN SDGs

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