Objective
The global ageing population is growing inexorably and in few years half of the adult population will be over 50. These trends are more significant in developed countries such as EU countries. These trends have several implications: there will be more older people in absolute as well as relative terms, there will be considerably more older "old" people, there will be fewer family carers and there will be a smaller productive workforce to contribute to the financing of health and social services. Concerning this scenario, this project tends to develop an outdoor remote activity monitoring and automatic alert system based on the use of accelerometers to evaluate users mobility and to detect users falls. Falling is one of the most common problems for elderly people, especially those living alone. Actually 30% of the older persons fall at least once a year. There are different alert systems in the market but most of them respond to a users input when pressing a button. The system presented in this project will alert automatically even if the user is not able to move because of injuries suffered during fall, indicating the localisation of the fall by using GSM and GPS technology. Consequences of late assistance are dangerous: hypothermia, dehydration, infections... that in occasions can derive in death. Adding to this, the system will be able to distinguish between static and dynamic movements and send periodically data of users activity via GSM. This information will be analysed by carers determining users well being. Mobility is a subjective quality that indicates users vitality, and well being. The relevance of the project for the SMEs is high since the demand of remote care devices for elderly people is growing exponentially. The lack of reliable solutions in the market brings a great opportunity for care products developers. Moreover, the care market brings new opportunities for SMEs developing new technologies to spread their products to this emerging field.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- medical and health scienceshealth scienceshealth care serviceseHealth
- social sciencessociologygovernancepublic services
- social scienceseconomics and businessbusiness and managementemployment
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Call for proposal
FP6-2002-SME-1
See other projects for this call
Funding Scheme
Data not availableCoordinator
ELGOIBAR
Spain