Advanced technologies for detecting risks and helping the elderly

Preventing MCI/frailty for the ageing population.

City4Age optimizes resources and effectiveness

Collecting data

Data are collected automatically in an unobtrusive way

Resource effective

C4A system manages effectively resources already available

Connecting people

People in need, care givers and smartcities’ administrations are constantly connected

We connect them all

Smart Data
for Prevention

Smart Cities generate rapidly increasing volumes of data

Other data can be collected via unobtrusive sensors

Data can be used to identify behaviours and prevent problems of the ageing population of Europe

Health Prevention

Prevention is cost effective

Technology can help identifying clusters “in risk” of needing medical treatment

Prompt intervention can postpone medical treatment and improve the wellbeing of the vulnerable

Caring for the Elderly

Technology-enhanced monitoring optimizes the care-givers work

Tailored monitoring and intervention are effective

Technology can help to keep in touch with the needy

Sense-making of Data

Developing an European data economy by gathering and integrating data for analysis

Validating outputs to better inform and support geriatric research and policymaking

Cities already collect large amount of data about their citizens, but they are not used for prevention.

Elderly people’s issue is considered only
when it is too late, although sensible
data are already there.

Cities collect big data about the population, allowing the identification of large segments sharing similar behaviors or issue.

Clusters of citizens sharing decaying behaviors can be identified, anticipating the occurrence of Cognitive Impairment or Frailty.

Estimated growth of dementia

Increase of estimated numbers of
people with dementia worldwide
(2010-2050)

C4Age_Draws__segni 4

“Smart cities” can collect data in an unobtrusive way about individual behaviors.

These data can be used for detecting behavior patterns and especially behavior changes.

They can help to identify segments of population potentially at risk.

City4Age: an excellent consortium with a balanced set of resources

Research and scientific partners, industrial partners, user-representatives partners

6 pilot cities around Europe plus Singapore

6 different pilot cities collecting, at the same time, data derived from sensors in the environment, inferred contextual information.

The heterogeneity of the pilot sites is another factor in the validation process that will allow checking the performance of the system in different circumstances and situations.