Tag Archives: Fall Detection

BIOTELEKINESY (FP7-PEOPLE)

The core of the BIOTELEKINESY project was to provide an innovative ICT based interface with a holistic approach to detect and prevent as earlier as possible in the daily environment of the elderly person, motion disabilities and as a consequence fall risks. It consists of monitoring and assessing devices, to gather biomechanics data that can be indicators of locomotion impairments, related to a secure interoperability system that connect the older person, the healthcare providers and the family in order to implement appropriate rehabilitation therapies.

Project was completed May 2011

CARE – Safe Private Homes for Elderly Persons (AAL)

CareLogoThe 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

CONFIDENCE – Ubiquitous Care System to Support Independent Living (FP7-ICT)

Confidence Logo
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

FallWatch (FP7-SME)

FallWatch
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

ROSETTA – Guidance and Awareness Services for Independent Living (AAL)

Rosetta LogoROSETTA 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

SOFTCARE – Plug and play home monitoring sytem (AAL)

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

I-DONT-FALL – Integrated prevention and Detection sOlutioNs Tailored to the population and Risk Factors associated with FALLs (CIP)

IDONTFALLThe main goal of the I-DONT-FALL project is to deploy, pilot and evaluate a range of innovative technological solutions for fall detection and prevention management. The project will develop and evaluate a platform, which enables the prevention and detection of falls. Technological partners will provide their innovative solutions for fall detection and prevention that will be integrated into the platform. The effectiveness of these technological solutions will be evaluated by several health care organizations across Europe.

Started: April 2012.