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Denis María ; Franco Lianza ; Nicole Schmidt ; Juan Pablo Nant ;Sistemas & Telemática 2016, 14 39

Author: Darío Weitz

Source: http://www.redalyc.org/articulo.oa?id=411549534002


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Sistemas & Telemática ISSN: 1692-5238 EditorSyT@icesi.edu.co Universidad ICESI Colombia Weitz, Darío; María, Denis; Lianza, Franco; Schmidt, Nicole; Nant, Juan Pablo Smart home simulation model for synthetic sensor datasets generation Sistemas & Telemática, vol.
14, núm.
39, 2016, pp.
71-84 Universidad ICESI Cali, Colombia Available in: http:--www.redalyc.org-articulo.oa?id=411549534002 How to cite Complete issue More information about this article Journals homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative Weitz, D., María, D., Lianza, F., Schmidt, N., & Nant, J.P.
(2016).
Smart home simulation model for synthetic sensor datasets generation.
Sistemas & Telemática, 14(39), 71-84.
doi:10.18046-syt.v14i39.2350 Original research - Artículo original - Pesquisa original - Tipo 1 Smart home simulation model for synthetic sensor datasets generation Ms.Sc.
Darío Weitz - dar.wtz@gmail.com Denis María - demaria@gmail.com Franco Lianza - lianza.fl@gmail.com Nicole Schmidt - nicole.schmidt94@gmail.com Juan Pablo Nant - jpnant@gmail.com Departamento Ingeniería en Sistemas de Información - Universidad Tecnológica Nacional, Rosario-Argentina ABSTRACT World population is ageing due to longer life expectancy worldwide.
There is a trend in elderly people to live alone in their habitual residences in spite of health and safety risks.
Smart Homes, intelligent environment systems deployed at elderly homes can act as early warning systems trying to forecast the worsening or exacerbation of the resident chronic conditions.
Access to sensor datasets is essential for the development of an efficient real smart home. Procurement of such datasets is subject to several restrictions and difficulties.
This paper describes the generation of synthetic datasets by means of a simulation model as a suitable alternative pr...





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