The CARE project targeted the automated recognition and alarming of critical situations (like fall detection) using a visual sensor and real-time processing while preserving the privacy and taking into account system dependability issues (reliability, availability, security, and safety). A biologically-inspired neuromorphic vision sensor from AIT was integrated in the Everon (alarm, security, and monitoring) system for seamless analysis and tracking of older people at home. This real-time information can be exploited for incident detection (e.g., fall detection) and an instantaneous alarm.
The project was completed September 2012
The main objective of the Confidence project was the development and integration of different ICT technologies for the detection of abnormal events, such as falls, losses of consciousness or unexpected behaviours in older people. The main exploitable product of the project is a system that processes location and acceleration data generated by an arbitrary accurate sensor system. If a problem is detected, the system raises an alarm and calls to the telephone numbers that the user has identified as alarm receivers. This system can be further enhanced so that it can also be used for prevention of possible illnesses.
The project was completed July 2011
The AgeingWell website is a reference point for key stakeholders in the ICT & Ageing Sector. It aims at creating a Community of Actors interested in improving the life of older persons by promoting the market uptake of ICT solutions for Ageing Well. To achieve its aim, the following five main objectives of the AgeingWell project are to develop Guidelines for deployment and sharing of best practice between key competence centres; build an ICT for Ageing Knowledge Centre with the aim to share relevant information and results with the AgeingWell Community; develop an ICT for Ageing Society Strategic Agenda, with the aim of providing a study on options for future structure and implementation of EU innovation funding; promote the European innovation reinforcement between innovative ICT & Ageing enterprises (in particular SMEs) and the Investment Community and raise awareness within the European community of ICT & Ageing stakeholders.
Started: May 2012.
The EUNESE project involved over 30 partners representing 23 different EU countries and aimed to reduce injuries among senior citizens. A best practices policy manual and commonly acceptable information materials were developed as well as the implementation of pilot projects to enhance safety, reduce injuries and promote health among senior citizens in the EU.
The project was completed July 2007
Based on this automatic detection of activities of daily living (ADL), the AMACS project aims to detect changes in the behavior, i.e. changes in these ADL patterns. These changes include both acute and gradual changes. The information about these activities and changes in behavior can then be presented to the caregivers (including family members) to adapt older people’s care plans, and as a consequence, increase their quality of care and quality of life. Hence allowing them to stay longer at their homes.
Started: October 2010.
FallWatch‘s objective was to miniaturize a wearable fall detection system for the elderly developed by Vigilio S.A. in collaboration with the University Joseph Fourier (Grenoble) under the brand Vigi’Fall TM. Convinced that innovative embedded devices for the monitoring of healthcare parameters would enhance safety and well-being of the frailest, the project developed a reliable telemedical solution for public and private home care facilities. In addition, the project provided technology insertion and consultancy services to commercial and industrial customers around the world.
Project was completed July 2011
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 of real life falls data.
Started: January 2012.
ROSETTA focused on the prevention, early detection and efficient management of treatable psychosocial and physical consequences of chronic diseases that are accompanied by progressive cognitive decline and an increased risk of straying and falling during the advanced stages of the disease. The functionalities of the ROSETTA system were to monitor activities of elderly persons with sensors, generate an alarm when unexpected/deviant (in) activity are predicted or detected (for example a fall), generate warnings when longer term deviations from normal personal behaviour were detected and support the elderly in carrying out daily and recreational activities.
The project was completed May 2012
The ultimate goal of FATE – FAll DeTector for the Elderly project is to widely validate an innovative and efficient ICT-based solution focused on improving the elder’s quality of life by an accurate detection of falls in ageing people, both at home and outdoors. This will be done by implementing an accurate, portable and usable fall detector that runs a complex and specific algorithm to accurately detect falls, and a robust and reliable telecommunications layer based in ZigBee and Bluetooth technologies, capable of sending alarms when the user is both inside and outside the home.
Started: March 2012
The USEFIL project aims to address the gap between technological research advances and the practical needs of elderly people by developing advanced but affordable in-home unobtrusive monitoring and web communication solutions. USEFIL intends to use low cost “off-the-shelf” technology to develop immediately applicable services that will assist the elderly in maintaining their independence and daily activities. USEFIL intends to provide guidelines for the community of technology developers to optimize future generation of applications for an ageing population.
Started: November 2011