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M. Luštrek, M. Gams. I.Vélez. Posture and movement monitoring for ambient assisted living. IST-Africa 2009, 6-8 May 2009, Kampala (Uganda).

Abstract:

 We present the current work on posture and movement recognition in the European FP7 project CONFIDENCE – Ubiquitous Care System to Support Independent Living. CONFIDENCE aims at providing care for the elderly using radio tags attached to the body. The part of the project described in this paper deals with the reconstruction and interpretation of the user’s behavior in order to raise an alarm or issue a warning if a fall or some other unusual activity is detected. We compared several machine learning algorithms and various attributes characterizing the user’s behavior in order to obtain accurate classification of the behavior into predefined activities. The first results show sufficient accuracy so that the final system is expected to substantially help the elderly and enable them to gain confidence in the late years.