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

✍ Scribed by T. L. M. van Kasteren; G. Englebienne; B. J. A. Kröse

• Publisher: Springer
• Year: 2010
• Tongue: English
• Weight: 401 KB
• Volume: 14
• Category: Article
• ISSN: 1617-4909
• DOI: 10.1007/s00779-009-0277-9

✦ Synopsis

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.