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

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

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
Pages	2001-2006
Number of pages	6
DOIs	https://doi.org/10.1109/FUZZY.2009.5277257
Publication status	Published - 10 Dec 2009
Externally published	Yes
Event	2009 IEEE International Conference on Fuzzy Systems - 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	2009 IEEE International Conference on Fuzzy Systems
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

Access to Document

10.1109/FUZZY.2009.5277257

Cite this

@inproceedings{6705f3785842402c88c753c6ee43be1f,

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 = dec,

day = "10",

doi = "10.1109/FUZZY.2009.5277257",

language = "English",

isbn = "9781424435975",

series = "IEEE International Conference on Fuzzy Systems",

pages = "2001--2006",

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

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

}

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, pp. 2001-2006, 2009 IEEE International Conference on Fuzzy Systems, 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. 2009. p. 2001-2006 5277257 (IEEE International Conference on Fuzzy Systems).

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

TY - GEN

T1 - Human activities of daily living recognition using fuzzy logic for elderly home monitoring

AU - Medjahed, Hamid

AU - Istrate, Dan

AU - Boudy, Jerome

AU - Dorizzi, Bernadette

PY - 2009/12/10

Y1 - 2009/12/10

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.

UR - https://www.scopus.com/pages/publications/71249155499

U2 - 10.1109/FUZZY.2009.5277257

DO - 10.1109/FUZZY.2009.5277257

M3 - Conference contribution

AN - SCOPUS:71249155499

SN - 9781424435975

T3 - IEEE International Conference on Fuzzy Systems

SP - 2001

EP - 2006

BT - 2009 IEEE International Conference on Fuzzy Systems - Proceedings

T2 - 2009 IEEE International Conference on Fuzzy Systems

Y2 - 20 August 2009 through 24 August 2009

ER -

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

Abstract

Publication series

Conference

UN SDGs

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