An activity monitoring system for elderly care using generative and discriminative models
Tim L. M. van Kasteren, Gwenn Englebienne, Ben Kröse · Personal and Ubiquitous Computing · 2010
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.