H2020 policy objectives are mainly oriented to social inclusion, in this regard, particular attention is given to better public services for seniors. Due to the high costs of hospitalization, the home care as well as specialized training should be preferable both for reducing public expenditure and improving the physical and psychological well-being of elderly people. In this paper an ICT tool for elderly people (or peoples with psychic, sensory, neuromotor and disabilities) is presented. Aim of this tool is to form a bridge between senior citizen and new technologies, thus overcoming the well-known rejection of 'technology with unknown implications'. At the same time the presented tool is suitable to identify variations of the senior ability while doing specific actions just for by evaluating a social isolation parameter.

Social isolation monitoring system via AI approach / Di Lecce, Vincenzo; Giove, Antonella; Quarto, Alessandro; Soldo, Domenico; Di Lecce, Francesco. - ELETTRONICO. - (2015), pp. 7175887.256-7175887.261. (Intervento presentato al convegno 7th IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems, EESMS 2015 tenutosi a Trento, Italy nel July 9-10, 2015) [10.1109/EESMS.2015.7175887].

Social isolation monitoring system via AI approach

Vincenzo Di Lecce;Antonella Giove;Alessandro Quarto;
2015-01-01

Abstract

H2020 policy objectives are mainly oriented to social inclusion, in this regard, particular attention is given to better public services for seniors. Due to the high costs of hospitalization, the home care as well as specialized training should be preferable both for reducing public expenditure and improving the physical and psychological well-being of elderly people. In this paper an ICT tool for elderly people (or peoples with psychic, sensory, neuromotor and disabilities) is presented. Aim of this tool is to form a bridge between senior citizen and new technologies, thus overcoming the well-known rejection of 'technology with unknown implications'. At the same time the presented tool is suitable to identify variations of the senior ability while doing specific actions just for by evaluating a social isolation parameter.
2015
7th IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems, EESMS 2015
978-1-4799-8215-8
Social isolation monitoring system via AI approach / Di Lecce, Vincenzo; Giove, Antonella; Quarto, Alessandro; Soldo, Domenico; Di Lecce, Francesco. - ELETTRONICO. - (2015), pp. 7175887.256-7175887.261. (Intervento presentato al convegno 7th IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems, EESMS 2015 tenutosi a Trento, Italy nel July 9-10, 2015) [10.1109/EESMS.2015.7175887].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/220996
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