An activity monitoring system for elderly care using generative and discriminative models
| Authors |
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| Publication date | 2010 |
| Journal | Personal and ubiquitous computing |
| Volume | Issue number | 14 | 6 |
| Pages (from-to) | 489-498 |
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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. |
| Document type | Article |
| Language | English |
| Published at | https://doi.org/10.1007/s00779-009-0277-9 |
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