Project: Kit for elderly behaviour monitoring by localisation recognition and remote sensoring

Acronym	SOFTCARE (Reference Number: aal-2008-1-115)
Duration	01/11/2009 - 01/11/2012
Project Topic	The proposed SOFTCARE technology will use Artificial Intelligence and ZIGBEE nodes to create to create an integral system for home monitoring which will greatly expand upon existing home-based health monitoring system, as it will take into account more than one chronic condition. This system will be accessible to the target audience as it is low cost and extremely easy to install in the home. Taking into account the objectives of the AAL Programme, most importantly: " to extend the time people can live in their preferred environment by increasing their autonomy, self-confidence and mobility"; " to support maintaining health and functional capability of the elderly individuals" and "to promote a better and healthier lifestyle for individuals at risk", this project looks to make a major advancement in the field of home monitoring by providing a home-based kit which will help detect behaviours as related to the patient's condition. Based on their daily movement within the home and given their particular disease information and habitual behaviour, the proposed technology will detect abnormal behaviour and make expert medical deductions on the level of incapacitation and health status of the user. SOFTCARE technology will also be completely non-invasive. No cameras are incorporated and the information about the behaviour of the patient is gathered by using localization parameters and fed into a database which will detect anomalies.
Website	visit project website
Network	AAL
Call	Call 1 – CHRONIC CONDITIONS

Project partner

Number	Name	Role	Country
	CAPEX HEALTH LIMITED		United Kingdom
	CEIT Raltec Gmbh		Austria
	CENTRE DE RECERCA I INVESTIGACIÓ DE CATALUNYA S.A		Spain
	FORSCHUNGSINSTITUT DES WIENER ROTEN KREUZES		Austria
	Health Systems Group Ltd		United Kingdom
	MESHWORKS WIRELESS OY		Finland