Activity Recognition Using Non-intrusive Appliance Load Monitoring

Olaf Wilken, Oliver Kramer, Enno-Edzard Steen, Andreas Hein


The recognition of sequences via non-intrusive appliance load monitoring has an important part to play for various applications in healthcare. In our work, we present a system for the detection of daily activities based on the use of appliances. The objective of our activity monitoring system is to maximize the time elder people can stay in their own domestic environment. We propose a system that is able to detect comparably complex activities that may be interrupted by other activities. In the experimental part of our work, a one-month and a half-year field study demonstrate the capabilities of the proposed approach.


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Paper Citation

in Harvard Style

Wilken O., Kramer O., Steen E. and Hein A. (2014). Activity Recognition Using Non-intrusive Appliance Load Monitoring . In Proceedings of the 4th International Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: PECCS, ISBN 978-989-758-000-0, pages 40-48. DOI: 10.5220/0004700300400048

in Bibtex Style

author={Olaf Wilken and Oliver Kramer and Enno-Edzard Steen and Andreas Hein},
title={Activity Recognition Using Non-intrusive Appliance Load Monitoring},
booktitle={Proceedings of the 4th International Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: PECCS,},

in EndNote Style

JO - Proceedings of the 4th International Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: PECCS,
TI - Activity Recognition Using Non-intrusive Appliance Load Monitoring
SN - 978-989-758-000-0
AU - Wilken O.
AU - Kramer O.
AU - Steen E.
AU - Hein A.
PY - 2014
SP - 40
EP - 48
DO - 10.5220/0004700300400048