The proposed service will automatically generate a personalised fitness program based on the health status and the continuous monitoring of activity level of the user. This continuous monitoring will be accomplished by the development of a new wearable activity sensor specially designed for elderly needs. The health status monitoring will be done using biomedical sensors. A TV interface and a computer vision system will be used during fitness sessions to analyse fitness exercises execution. All these components will be connected to a service platform implementing the intelligence needed. The system will be tested by two groups of users: users who will be supervised by professional gerontologists, and elderly people living in spare areas and with no previous experiences with elderly fitness. The first group will allow the validation of the proposed system in comparison with the current approaches. The second group will validate technology deployment and usability in an important potential market.
Frailty syndrome confers disability for activities of daily living (ADL disability) and is an important cause of loss of autonomy. The project idea is to use the proven advantages of elderly fitness to develop a personalised self-care solution based on self-check of health conditions and elderly fitness at home. The solution will use an autonomous fitness system targeting not frailty or pre-frailty elder people living independently at home. The use of this solution will help the elderly to stay independently at home and to deal autonomously with the activities of daily living by allowing them to prevent frailty.
Expected results and impact
The new service presented in ELF@Home is based on four functional innovations: – Elderly people do fitness at home at any time independently where they live. – Although the exercising is done without a human direct supervision, the system is able to monitor exercise execution and give feedback to the user about the correct execution. – The fitness program is personalised according to the user profile and the physical activity level without direct human intervention. – The impact of the fitness program is evaluated by using medical sensors in order to adjust the program.
Partners involved in the ELF@Home project
|Fundación CTIC - Centro Tecnológico||R&D||Spain||www.fundacionctic.org|
|Sociedad Gerontológica y Geriátrica del Principado de Asturias||End User||Spain|
|Umeå University||End User||Sweden||www.informatik.umu.se/english/?languageId=1|
|Skellefteå Kommun||End User||Sweden||www.skelleftea.se|
|Franhofer Institute of Integrated Circuits||R&D||Germany||www.iis.fraunhofer.de/med|
|2D Debus & Diebold Meßsysteme GmbH||SME||Germany||2d-datarecording.com|
- Project name: elderly sELF-care based on sELF-check of health conditions and sELF-fitness at home
- Website: www.elfathome.eu
- Coordinator: Fundación CTIC – Centro Tecnológico
- Duration: 36 Months
- Starting Date: 01.06.2013
- Total budget: € 2.604.926,00
- Public contribution: € 1.437.492,74