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Sensors 2018, 18(4), 1246; doi:10.3390/s18041246

Active and Assisted Living Ecosystem for the Elderly

1
INOV INESC INOVAÇÃO Instituto de Novas Tecnologias—Delegação de Leiria, 2411-901 Leiria, Portugal
2
School of Technology and Management, Computer Science and Communications Research Centre, Polytechnic Institute of Leiria, 2411-901 Leiria, Portugal
3
ESEI: Escuela Superior de Ingeniería Informática, University of Vigo, 32004 Ourense, Spain
4
CINBIO: Centro de Investigaciones Biomédicas, University of Vigo, 36310 Vigo, Spain
5
Grupo de Investigación SING, Instituto de Investigación Sanitaria Galicia Sur (IIS Galicia Sur), SERGAS-UVIGO, 36312 Vigo, Spain
*
Author to whom correspondence should be addressed.
Received: 29 January 2018 / Revised: 9 April 2018 / Accepted: 14 April 2018 / Published: 17 April 2018
(This article belongs to the Special Issue New Trends in Ambient Intelligence Applications)
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Abstract

A novel ecosystem to promote the physical, emotional and psychic health and well-being of the elderly is presented. Our proposal was designed to add several services developed to meet the needs of the senior population, namely services to improve social inclusion and increase contribution to society. Moreover, the solution monitors the vital signs of elderly individuals, as well as environmental parameters and behavior patterns, in order to seek eminent danger situations and predict potential hazardous issues, acting in accordance with the various alert levels specified for each individual. The platform was tested by seniors in a real scenario. The experimental results demonstrated that the proposed ecosystem was well accepted and is easy to use by seniors. View Full-Text
Keywords: telemedicine; gerontechnology; home care monitoring systems; active assisted living; remote health monitoring telemedicine; gerontechnology; home care monitoring systems; active assisted living; remote health monitoring
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Marcelino, I.; Laza, R.; Domingues, P.; Gómez-Meire, S.; Fdez-Riverola, F.; Pereira, A. Active and Assisted Living Ecosystem for the Elderly. Sensors 2018, 18, 1246.

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