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 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 Giraff+ project is developing a system consisting of a network of home sensors that measure (e.g. blood pressure, temperature) or detect (e.g. falls or movement inside a room) mobility in older people. The data from these sensors are interpreted by an intelligent system in terms of activities (e.g. the person is going to bed, the person is tired or well rested). These activities can then trigger alarms or reminders to the person or his/her caregivers, or be analysed over time by a health professional. There is also a telepresence robot, the Giraff, which can be moved around in the home by somebody connected to it over internet.
Started: January 2012
The aim of the SoftCare project was to develop and test out a monitoring system for older people which allowed carers and users to get real-time alarms in dangerous or potentially dangerous situations, with warnings on long-term trends which could indicate a future problem. The user wears a small bracelet and places one static node in each room of their home. The bracelet contains a 3D accelerometer and a mobile communication device. The system requires an internet connection and there is an additional key fob device to extend the system’s capabilities outside the home. In May 2012 the system was trialled in sheltered housing and in private homes.
The project was completed October 2012