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

Medjahed, Hamid; Istrate, Dan; Boudy, Jérôme; Dorizzi, Bernadette

doi:10.1109/fuzzy.2009.5277257

Cited by 101 publications

(50 citation statements)

References 14 publications

(11 reference statements)

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“…A system for ADL recognition system is proposed in [36] using fuzzy logic. Fuzzy set theory is applied to monitor the ADL of an occupant to offer him/her a safe environment.…”

Section: Related Workmentioning

confidence: 99%

Behavioural pattern identification and prediction in intelligent environments

Mahmoud

Lotfi

Langensiepen

2013

Applied Soft Computing

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In this paper, the application of soft computing techniques in prediction of an occupant's behaviour in an inhabited intelligent environment is addressed. In this research, daily activities of elderly people who live in their own homes suffering from dementia are studied. Occupancy sensors are used to extract the movement patterns of the occupant. The occupancy data is then converted into temporal sequences of activities which are eventually used to predict the occupant behaviour. To build the prediction model, different dynamic recurrent neural networks are investigated. Recurrent neural networks have shown a great ability in finding the temporal relationships of input patterns. The experimental results show that non-linear autoregressive network with exogenous inputs model correctly extracts the long term prediction patterns of the occupant and outperformed the Elman network. The results presented here are validated using data generated from a simulator and real environments.

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“…A system for ADL recognition system is proposed in [36] using fuzzy logic. Fuzzy set theory is applied to monitor the ADL of an occupant to offer him/her a safe environment.…”

Section: Related Workmentioning

confidence: 99%

Behavioural pattern identification and prediction in intelligent environments

Mahmoud

Lotfi

Langensiepen

2013

Applied Soft Computing

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“…A study from Noury et al uses simulated behavior for a patient living in an intelligent home [30]. A fuzzy logic system is described in [31] for recognizing activities in a home environment using a set of various sensors.Their method was tested on simulated data in order to demonstrate its effectiveness. More recently, a context-aware model for monitoring ADL in ambient assisted living was presented in [15].…”

Section: Related Workmentioning

confidence: 99%

Adaptive monitoring system for e-health smart homes

Mshali

Lemlouma

Magoni

2018

Pervasive and Mobile Computing

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Existing e-health monitoring systems mainly operate in isolation from the requirements of modern healthcare institutions. They do not include optimized techniques which learn the patient's behavior for predicting future important changes. We propose a new context-aware e-health monitoring system targeted at the elderly and isolated persons living alone. It monitors daily living activities and evaluates dependency based on geriatric scales used by health professionals. Its adaptive framework collects only relevant contextual data for evaluating health status. By monitoring the achievement of daily activities, the system learns the behavior of the monitored person. It is then able to detect risky behavioral changes by using our novel forecasting approach based on the extension of the Grey model GM(1, 1). In order to evaluate our system, we use a Markovian model built for generating long term realistic scenarios. By simulation, we compare the performances of our system to traditional monitoring approaches with various synthetically generated scenarios and profiles. Results show that with minimal sensing and data collection, our system accurately evaluates a person's dependency, predicts its health condition, and detects abnormal situations while preserving system resources.

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“…Fuzzy logic was developed by L.A. Zadeh in 1965 and is excellent for performing automated reasoning [95]. As stated by Zadeh, the concept used in fuzzy logic is partial membership: "A fuzzy set is a class of objects with a continuum of grades of membership" [96].…”

Section: Fuzzy Logic (Fl)mentioning

confidence: 99%

“…Fuzzy logic is used for imprecision and uncertainty issues, and works in a similar manner to human reasoning, where incomplete data or inaccurate data is presented [95]. Fuzzy logic executes inference mechanisms following the IF-THEN condition, which "define the dependences of fuzzified input and output of system" [98].…”

Section: Fuzzy Logic (Fl)mentioning

confidence: 99%

“…As stated by Zadeh, the concept used in fuzzy logic is partial membership: "A fuzzy set is a class of objects with a continuum of grades of membership" [96]. Fuzzy logic is used for application such as diagnosis, control system, pattern recognition, and image processing, where higher level reasoning and inference are needed [95,97]. Fuzzy logics are commonly used in many household devices, including washing machines, toasters, microwave ovens, etc.…”

Section: Fuzzy Logic (Fl)mentioning

confidence: 99%

See 1 more Smart Citation

A Review of Smart House Analysis Methods for Assisting Older People Living Alone

Sánchez

Pfeiffer

Skeie

2017

JSAN

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Smart Houses are a prominent field of research referring to environments adapted to assist people in their everyday life. Older people and people with disabilities would benefit the most from the use of Smart Houses because they provide the opportunity for them to stay in their home for as long as possible. In this review, the developments achieved in the field of Smart Houses for the last 16 years are described. The concept of Smart Houses, the most used analysis methods, and current challenges in Smart Houses are presented. A brief introduction of the analysis methods is given, and their implementation is also reported.

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

Cited by 101 publications

References 14 publications

Behavioural pattern identification and prediction in intelligent environments

Behavioural pattern identification and prediction in intelligent environments

Adaptive monitoring system for e-health smart homes

A Review of Smart House Analysis Methods for Assisting Older People Living Alone

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