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Cited by 230

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

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van Kasteren, T. L. M., Englebienne, G., Kröse, B. J. A.·2010·Personal and Ubiquitous Computing
DOI 10.1007/s00779-009-0277-9
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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.

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Research works printed but not linked: 32

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Cited by

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Metadata

Authors
van Kasteren, T. L. M., Englebienne, G., & Kröse, B. J. A.
Venue
Personal and Ubiquitous Computing
Publisher
Springer Science and Business Media LLC
Published
2010-02-26
Volume
14
Issue
6
Pages
489-498
ISSN
  • 1617-4909 (ISSN-L)
  • 1617-4917
DOI
10.1007/s00779-009-0277-9
OpenAlex
W2114977530
Cited by
230
References
4
FWCI
15.85
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: An activity monitoring system for elderly care using generative and discriminative models. https://app.cochat.ai/papers/10.1007/s00779-009-0277-9
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van Kasteren, T. L. M., Englebienne, G., & Kröse, B. J. A. (2010). An activity monitoring system for elderly care using generative and discriminative models. Personal and Ubiquitous Computing. https://doi.org/10.1007/s00779-009-0277-9

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