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Authors: Olaf Wilken ; Oliver Kramer ; Enno-Edzard Steen and Andreas Hein

Affiliation: University of Oldenburg, Germany

Keyword(s): Activity Recognition, Non-intruisve Appliance Load Monitoring.

Related Ontology Subjects/Areas/Topics: Ambient Intelligence ; Context ; Context-Aware Applications ; Mobile and Pervasive Computing ; Mobile Computing ; Paradigm Trends ; Pervasive Health ; Software Engineering ; Telecommunications ; Ubiquitous Computing Systems and Services

Abstract: 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 several formats:
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 - PECCS; ISBN 978-989-758-000-0; ISSN 2184-2817, SciTePress, pages 40-48. DOI: 10.5220/0004700300400048

@conference{peccs14,
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 - PECCS},
year={2014},
pages={40-48},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004700300400048},
isbn={978-989-758-000-0},
issn={2184-2817},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Pervasive and Embedded Computing and Communication Systems - PECCS
TI - Activity Recognition Using Non-intrusive Appliance Load Monitoring
SN - 978-989-758-000-0
IS - 2184-2817
AU - Wilken, O.
AU - Kramer, O.
AU - Steen, E.
AU - Hein, A.
PY - 2014
SP - 40
EP - 48
DO - 10.5220/0004700300400048
PB - SciTePress

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