Paper Info
Title
An IoT-Aware Architecture for Collecting and Managing Data Related to Elderly Behavior.
Abstract
The world population will be made up of a growing number of elderly people in the near future. Aged people are characterized by some physical and cognitive diseases, like mild cognitive impairment (MCI) and frailty, that, if not timely diagnosed, could turn into more severe diseases, like Alzheimer disease, thus implying high costs for treatments and cares. Information and Communication Technologies (ICTs) enabling the Internet of Things (IoT) can be adopted to create frameworks for monitoring elderly behavior which, alongside normal clinical procedures, can help geriatricians to early detect behavioral changes related to such pathologies and to provide customized interventions. As part of the City4Age project, this work describes a novel approach for collecting and managing data about elderly behavior during their normal activities. The data capturing layer is an unobtrusive and low-cost sensing infrastructure abstracting the heterogeneity of physical devices, while the data management layer easily manages the huge quantity of sensed data, giving them semantic meaning and fostering data shareability. This work provides a functional validation of the proposed architecture and introduces how the data it manages can be used by the whole City4Age platform to early identify risks related to MCI/frailty and promptly intervene.
Year
DOI
Venue
2017
10.1155/2017/5051915
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
Field
DocType
Volume
Data science,Psychological intervention,Architecture,Computer science,ICTS,Internet of Things,Computer network,Functional validation,Information and Communications Technology,World population,Data management
Journal
2017
ISSN
Citations 
PageRank 
1530-8669
1
0.35
References 
Authors
6
6
Name
Order
Citations
PageRank
Aitor Almeida15513.69
Alessandro Fiore212.38
Luca Mainetti364399.30
Ruben Mulero472.54
Luigi Patrono540334.87
Piercosimo Rametta6152.50