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FARSEEING

Financiado

Cerrado

FAll Repository for the design of Smart and sElf adaptive Environments prolongi...

FAll Repository for the design of Smart and sElf adaptive Environments prolonging INdependent livinG Healthy independent living is a major challenge for the ageing European population. Promotion of stimulating physical activity and prevention of falls are two key factors. Smart ICT offers unique proactive opportunities to support... ver más

31/03/2015

UNIBO

5M€

Presupuesto del proyecto: 5M€

Líder del proyecto

ALMA MATER STUDIORUM UNIVERSITA DI BOLOGNA No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 10 Participantes

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2015-03-31 No tenemos la información de la convocatoria

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

10 Participantes

UNIBO

0.00€ | Lider

RBMF

N.D. | Participante

NML

N.D. | Participante

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Líder del proyecto

ALMA MATER STUDIORUM UNIVERSITA DI BOLOGNA No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 5M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Healthy independent living is a major challenge for the ageing European population. Promotion of stimulating physical activity and prevention of falls are two key factors. Smart ICT offers unique proactive opportunities to support older people in their own homes. The FARSEEING project aims to provide groundbreaking results for health promotion, fall prevention and technical development. Falls in older persons are common, often leading to institutionalisation and loss of independence. FARSEEING aims to promote better prediction, prevention and support of older persons, by long-term analysis of behavioural and physiological data collected using Smartphones, wearable and environmental sensors: leading to self-adaptive responses. FARSEEING aims to build the world's largest fall repository. This will include samples of both high functioning community-dwelling elders and high-risk groups of fallers. The architecture of the database will facilitate collection, analysis and processing of data related to falls, daily activity and physiological factors. The inclusion of a longstanding cohort study ensures a representative population sample, which is urgently needed to translate technological advance into real world service provision. Telemedicine service models using open technological platforms, independent of sensor systems, will be developed for detection of falls and exchange of information between the older person, family, caregivers and health-care personnel. Novel exercise regimens will be developed that increase adaptability and stimulate motor learning, and cognitive and emotional well being. The exercise model will focus on capacity to manage a complex challenging environment. User acceptability is central to FARSEEING. Psychological and gerontological expertise is a core activity, including ethical, privacy and e-inclusion dimensions. Data protection will be paramount to build and validate realistic business models and service provision.

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