作者
Aitor Almeida, Rubén Mulero, Piercosimo Rametta, Vladimir Urošević, Marina Andrić, Luigi Patrono
发表日期
2019/8/1
期刊
Future Generation Computer Systems
卷号
97
页码范围
598-619
出版商
North-Holland
简介
A growing number of elderly people (65+ years old) are affected by particular conditions, such as Mild Cognitive Impairment (MCI) and frailty, which are characterized by a gradual cognitive and physical decline. Early symptoms may spread across years and often they are noticed only at late stages, when the outcomes remain irrevocable and require costly intervention plans. Therefore, the clinical utility of early detecting these conditions is of substantial importance in order to avoid hospitalization and lessen the socio-economic costs of caring, while it may also significantly improve elderly people’s quality of life. This work deals with a critical performance analysis of an Internet of Things aware Ambient Assisted Living (AAL) system for elderly monitoring. The analysis is focused on three main system components: (i) the City-wide data capturing layer, (ii) the Cloud-based centralized data management repository, and …
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A Almeida, R Mulero, P Rametta, V Urošević, M Andrić… - Future Generation Computer Systems, 2019