Project Details


WSIS Prizes Contest 2019 Nominee

CARE: Safe Private Homes for Elderly Persons


Description

CARE developed a non-wearable and
stationary mounted bio-inspired stereo
vision sensor, which does not record
images but only detect motion at a high
temporal resolution. The sensor can detect
activities without seeing the person,
such that privacy is ensured.
The CARE project result is a stationary
(non-wearable) smart sensor (like a fire
detector), that can be mounted in every
home to automatically detect falls and
wirelessly sends alarms. Such a system
does not exist so far in the market. Two
large elderly homes were involved in
Germany and in Finland for the CARE
pilot testing.
The time to market of the system is
~5 years as some steps are needed:
(1) wide evaluation with more test persons,
(2) redesign of the sensor as a
finalized prototype to be smaller (like a
fire detector) and cheaper, (3) and find
sensor investors for manufacturing of
large quantity and wide deployment.

Project website

http://care-aal.emt.bme.hu/en


Images

Action lines related to this project
  • AL C7. E-health 2019
Sustainable development goals related to this project
  • Goal 3: Good health and well-being

Global digital compact (GDC) objectives related to this project None

Coverage
  • Western Europe and North America

Status

Completed

Start date

July 2009

End date

2012


Target beneficiary group(s)
  • Older persons
  • People with disabilities

WSIS values promotion

The CARE project was an R&D activity running under the Ambient Assisted Living Joint Programme, which has been co-funded by the EC and by several participating countries. The project aimed to realise an intelligent monitoring and alarming system for the independent living of elderly persons. Specifically, this project targeted the automated recognition and alarming of critical situations (like falls) using a visual sensor and real-time processing while preserving the privacy and taking into account system dependability issues, especially ensuring reliability, availability, security, and safety from a holistic point of view. A biologically inspired, neuromorphic vision sensor from AIT was integrated into the Everon alarm, security, and monitoring system for seamless analysis and tracking of elderly persons at home. This real-time information has been exploited for incident detection (e.g., fall detection, immobilised person; see images below), and instantaneous alarming of the concerned parties.


Entity name

CARE

Entity country—type

Austria Academia

Entity website

http://care-aal.emt.bme.hu/en

Partners

AAL Programme, SensoCube GmbH, Budapest University of Technology and Economics, Biomedical Engineering Knowledge Centre, Oy Everon Ab, Yrjö ja Hanna Ltd, Senioren Wohnpark Weser GmbH