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UWB Monitoring System for AAL Applications

Independent living of elderly persons in their homes requires support that can be provided with modern assistive technologies. Monitoring of elderly persons behaviour delivers valuable information that can be used for diagnosis and detection of health problems as well as triggering alerts in emergen...

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Detalles Bibliográficos
Autores principales: Kolakowski, Jerzy, Djaja-Josko, Vitomir, Kolakowski, Marcin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5621426/
https://www.ncbi.nlm.nih.gov/pubmed/28895917
http://dx.doi.org/10.3390/s17092092
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author Kolakowski, Jerzy
Djaja-Josko, Vitomir
Kolakowski, Marcin
author_facet Kolakowski, Jerzy
Djaja-Josko, Vitomir
Kolakowski, Marcin
author_sort Kolakowski, Jerzy
collection PubMed
description Independent living of elderly persons in their homes requires support that can be provided with modern assistive technologies. Monitoring of elderly persons behaviour delivers valuable information that can be used for diagnosis and detection of health problems as well as triggering alerts in emergency situations. The paper includes a description of the ultra wideband system developed within Networked InfrasTructure for Innovative home Care Solutions (NITICS) Active and Assisted Living (AAL) project. The system can be used as a component of AAL platforms. It delivers data on users localization and has a fall detector functionality. The system also provides access to raw measurement results from Microelectromechanical Systems (MEMS) sensors embedded in the device worn by the monitored person. These data can be used in solutions intended for elderly person’s behaviour investigation. The system was investigated under laboratory conditions as well as in home environment. The detailed system description and results of performed tests are included in the article.
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spelling pubmed-56214262017-10-03 UWB Monitoring System for AAL Applications Kolakowski, Jerzy Djaja-Josko, Vitomir Kolakowski, Marcin Sensors (Basel) Article Independent living of elderly persons in their homes requires support that can be provided with modern assistive technologies. Monitoring of elderly persons behaviour delivers valuable information that can be used for diagnosis and detection of health problems as well as triggering alerts in emergency situations. The paper includes a description of the ultra wideband system developed within Networked InfrasTructure for Innovative home Care Solutions (NITICS) Active and Assisted Living (AAL) project. The system can be used as a component of AAL platforms. It delivers data on users localization and has a fall detector functionality. The system also provides access to raw measurement results from Microelectromechanical Systems (MEMS) sensors embedded in the device worn by the monitored person. These data can be used in solutions intended for elderly person’s behaviour investigation. The system was investigated under laboratory conditions as well as in home environment. The detailed system description and results of performed tests are included in the article. MDPI 2017-09-12 /pmc/articles/PMC5621426/ /pubmed/28895917 http://dx.doi.org/10.3390/s17092092 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kolakowski, Jerzy
Djaja-Josko, Vitomir
Kolakowski, Marcin
UWB Monitoring System for AAL Applications
title UWB Monitoring System for AAL Applications
title_full UWB Monitoring System for AAL Applications
title_fullStr UWB Monitoring System for AAL Applications
title_full_unstemmed UWB Monitoring System for AAL Applications
title_short UWB Monitoring System for AAL Applications
title_sort uwb monitoring system for aal applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5621426/
https://www.ncbi.nlm.nih.gov/pubmed/28895917
http://dx.doi.org/10.3390/s17092092
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