FallRisk - Intelligent services in view of prevention, risk evaluation and detection of fall incidents

From 01-01-2013 to 31-12-2014

Description

The FallRisk project will design and develop non-stigmatizing, holistic services in view of the automated follow up of fallrisk and the multi-sensor and contextual detection of fall incidents. The project will develop a multi-sensor approach in the home network environment, exploring the active inclusion of microphone arrays and the TV set. Optimum design of a multi-sensor system focuses on the assurance that every real fall incident can be detected (100% sensitivity), while at the same time capturing valuable context information.

Secondly a context-aware and social-aware selection algorithm will be developed to be able to support the dynamic and optimum forwarding of FallRisk events or alarms towards the (in)formal caregiver network. This back-end system will handle the event forwarding in view of the context of the event (e.g. day or night / bathroom or kitchen, classification of events) and in view of the social-network of the elderly (proximity and availability of (in)formal caregiver, circles of trust, etc). 

Team

• Ludo Cuypers, Co-promoter (External)
• Brenda Aendekerk, Co-promoter (External)
• Ann Ackaert, Co-promoter (External)
• An Jacobs, Co-promoter (External)
• Karin Coninx, Co-promoter (External)
• Steven Vandeput, Co-promoter
• Ann Van Mele, Co-promoter (External)
• Eric Moons, Co-promoter (External)
• Piet Verhoeve , Project Leader (External)
• Sabine Van Huffel, Promoter
• Bart Vanrumste, Research Leader

Financing

Funding: iMinds - Flanders' digital research center and incubator

Program/Grant Type: ICON - iMinds ICON