Internet of Things (IoT) growth rate in the last few years has opened a scenario in which every smart object can potentially do something useful for the users in many different and heterogeneous ways. In e-Health, smart environment and objects involvement can dramatically improve the services offered to those who need them. In this context, the European project City4Age is positioned. It has the aim of activating urban communities to facilitate the role of health services and of families in dealing with mild cognitive impairments and frailty in elderly population, and will provide a range of associated tools, services and interventions to make elder people remain active, involved and engaged in both their personal and social life. Elderly people’s usual behaviours will be determined and monitored in order to detect suspect alterations that could lead to quality life worsening; in such cases the system will send alerts or will schedule intervention to suggest a correct behaviour. To do so, the system will detect a wide range of data about individuals’ behaviour and process them using Extraction Transformation and Load (ETL) techniques; at the same time a graphical representation of those data will be available to users (elders, elders’ families and caregivers) in form of bar charts through the use of the YourData App, a Web-based solution, built upon the Angular framework, whose architecture and functionalities will be presented in this paper.
Releasing Self-evidence of Behavior to Seniors: The Your Data App
CAIONE A.;FIORE A.;MAINETTI L.
2018-01-01
Abstract
Internet of Things (IoT) growth rate in the last few years has opened a scenario in which every smart object can potentially do something useful for the users in many different and heterogeneous ways. In e-Health, smart environment and objects involvement can dramatically improve the services offered to those who need them. In this context, the European project City4Age is positioned. It has the aim of activating urban communities to facilitate the role of health services and of families in dealing with mild cognitive impairments and frailty in elderly population, and will provide a range of associated tools, services and interventions to make elder people remain active, involved and engaged in both their personal and social life. Elderly people’s usual behaviours will be determined and monitored in order to detect suspect alterations that could lead to quality life worsening; in such cases the system will send alerts or will schedule intervention to suggest a correct behaviour. To do so, the system will detect a wide range of data about individuals’ behaviour and process them using Extraction Transformation and Load (ETL) techniques; at the same time a graphical representation of those data will be available to users (elders, elders’ families and caregivers) in form of bar charts through the use of the YourData App, a Web-based solution, built upon the Angular framework, whose architecture and functionalities will be presented in this paper.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
