A Discrete event model for multiple inhabitants location tracking

Danancher, Mickaël; Lesage, Jean-Jacques; Litz, Lothar; Faraut, Grégory

doi:10.1109/coase.2013.6653946

Cited by 12 publications

(12 citation statements)

References 11 publications

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“…Some contributions investigate about new sensors to be installed in smart homes for monitoring the wellness and the health of the inhabitants (see for instance [39,29,37,23]) or for the suitable use and analysis of the sensor outputs [46]. Other papers consider the problem of the online location tracking based on a state estimator [9,10].…”

Section: A Helthcare At Homementioning

confidence: 99%

Discrete event systems models and methods for different problems in healthcare management

Fanti

Ukovich

2014

Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)

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The rapidly growing of the world's population makes efficient Healthcare System (HS) management more and more important to all stakeholders, from patients and healthcare providers, to insurance companies and governments. The use of advanced information and networking technologies to advance health care management has long been recognized as the most effective way. Hence, healthcare organizations are often compared with manufacturing systems, and techniques and models from production systems are adapted to solve healthcare management problems. This paper presents a review about the relevant approaches in the related literature to model and simulate HSs with particular focus on discrete event system approaches. In particular, some works are recalled with more detail to show the integrated use of different formalisms in order to model and manage conventional HSs (e.g., hospital departments) as well as novel healthcare paradigms, like health at home and electronic health. © 2014 IEEE

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Section: A Helthcare At Homementioning

confidence: 99%

Discrete event systems models and methods for different problems in healthcare management

Fanti

Ukovich

2014

Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)

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“…In case of multiple inhabitants, a FA describing the possible locations and motions can be constructed in the same way [8]. The case of two inhabitants living together in the apartment of Fig.…”

Section: B Case Studymentioning

confidence: 99%

“…Last but not least, such learning techniques lead to the lack of a formal and explicit model of the location of inhabitants. For these reasons, we proposed an approach allowing the systematic construction of Discrete Event Systems (DES) models (Finite Automata) on which is performed the realtime LT of single [7] or multiple [8] inhabitants into a smart home.…”

Section: Introductionmentioning

confidence: 99%

A DES Simulator for Location Tracking of Inhabitants in Smart Home

Danancher

Faraut

Lesage

et al. 2013

2013 8th EUROSIM Congress on Modelling and Simulation

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Abstract-In previous works we showed that, in return for some assumptions, indoor Location Tracking (LT) can be formulated as a Discrete Event Systems (DES) problem. We proposed a method for constructing Finite Automata (FA) models on which LT is performed online for single or multiple inhabitants. However, the accuracy of LT strongly depends on the choices of the designer concerning topology (in particular the splitting of the dwelling in zones) and the number and placement of sensors. To evaluate the impact of these choices onto the efficiency of the LT, we proposed an analytical approach that allows determining asymptotic performance criteria. This performance evaluation does not take into account the human behavior (real time moving of inhabitants) which is very difficult to model. In order to include the inhabitants behavior, and thus to improve the performance evaluation by considering dynamic criteria, we propose in this paper a discrete event simulation approach that allows to emulate the smart home and to immerse the human operator into this environment without having to model the human behavior.

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“…or to ensure the safety of inhabitants (fire or gas control, health problem detection, etc.) [1]. In this context, smart home technologies are largely used for Ambient Assisted Living (AAL) applications [2], [3], [10], [15].…”

Section: Introductionmentioning

confidence: 99%

Motion detector placement optimization in smart homes for inhabitant location tracking

Fanti

Roccotelli

Lesage

et al. 2016

2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)

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The aim of the paper is to provide an optimal placement of sensors for inhabitant location tracking in smart homes, by using only motion detectors. In particular, motion detectors are binary sensors largely used in ambient assisted living applications because they are low cost, non-intrusive and privacy sensors. An approach to optimize the placement of motion detectors in a real home environment by adopting a twodimensional grid is presented. In this context, the real coverage area of a sensor is computed by considering the obstacles and respecting the specified coverage performance requirements. The optimization problem is formalized and solved as an Integer Linear Programming (ILP) problem and a case study is presented to show the efficacy of the proposed approach.

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A Discrete event model for multiple inhabitants location tracking

Cited by 12 publications

References 11 publications

Discrete event systems models and methods for different problems in healthcare management

Discrete event systems models and methods for different problems in healthcare management

A DES Simulator for Location Tracking of Inhabitants in Smart Home

Motion detector placement optimization in smart homes for inhabitant location tracking

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