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C.Quemada, I.Val, M.Pietrzyk, T.Von der Grüen, N.González, I.Vélez. A Smart Care System for Elderly People to Support Independent Living: CONFIDENCE. Smart System integration,10-11 March 2009. Brussels, (Belgium).
Abstract:
This paper presents the description of CONFIDENCE project which will consist of the design, development and implementation of a portable care system, that will work both outdoors and indoors, for the detection of abnormal events, such as falls, loss of consciousness or unexpected behaviour that may be related to a health problem in elderly people. This care system will be able to reconstruct the user’s posture and detect these abnormal situations raising an alarm or warning when it is necessary. As a consequence, the elderly people will gain confidence and security and they will have a better quality of life and a longer active participation in the social life. Not only will the elderly people benefit from the system, but also the people around them, namely family and caregivers, since the burden on them will be substantially reduced. This paper only describes how the CONFIDENCE system will be developed in the future by all the CONFIDENCE partners which are CEIT (Centro de Estudios e Investigaciones Técnicas de Gipuzkoa), Fraunhofer IIS (Fraunhofer Institute for Integrated Circuits), JSI (Jozef Stefan Institute), IKERLAN, COOSS Marche, University of Jyväskylä, Umeå Municipality, eDevice, CUP 2000 and ZENON S.A. Robotics & Informatics Motivation.
Nowadays, there are systems in the market that claim prolonging the personal autonomy of elderly people. However, most of them are limited to detect falls with high false alarm rates. The system proposed in this paper will be able to detect falls with low false alarm rates and relying on non-intrusive techniques. The innovation of this system is that it will also identify short and long term unexpected behaviour possibly indicating health problems, both outdoors and indoors. In conclusion, the proposed design would bring about substantial advance to the existing state of the art.
The system described in this paper will employ localisation techniques to detect short- and long-term unexpected behaviour both outdoors and indoors. Additionally, the system developed shall not disturb the end user. This goal is beyond the state of the art of the currently available solutions. Moreover, its originality will reside in the application of different radio technologies in order to enhance the performance of the overall system.
