An activity monitoring system for elderly care using generative and discriminative models

Authors:
T. L. Kasteren;G. Englebienne;B. J. Kröse
Affiliations:
Intelligent Systems Lab Amsterdam, University of Amsterdam, Amsterdam, The Netherlands 1098 XG;Intelligent Systems Lab Amsterdam, University of Amsterdam, Amsterdam, The Netherlands 1098 XG;Intelligent Systems Lab Amsterdam, University of Amsterdam, Amsterdam, The Netherlands 1098 XG
Venue:
Personal and Ubiquitous Computing
Year:
2010

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Abstract

An activity monitoring system allows many applications to assist in care giving for elderly in their homes. In this paper we present a wireless sensor network for unintrusive observations in the home and show the potential of generative and discriminative models for recognizing activities from such observations. Through a large number of experiments using four real world datasets we show the effectiveness of the generative hidden Markov model and the discriminative conditional random fields in activity recognition.