Advanced technologies for detecting risks and helping the elderly
Preventing MCI/frailty for the ageing population.
City4Age optimizes resources and effectiveness
Data are collected automatically in an unobtrusive way
C4A system manages effectively resources already available
People in need, care givers and smartcities’ administrations are constantly connected
We connect them all
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
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
“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.