Work

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

Year: 2010

Type: article

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.

Source: Personal and Ubiquitous Computing

DOI: 10.1007/s00779-009-0277-9

Authors: T. L. M. van Kasteren, G. Englebienne, B. J. A. Kröse

Institution: University of Amsterdam

Language: English

Topic: Context-Aware Activity Recognition Systems

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $3,290

Funder: Universiteit van Amsterdam