loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.191.216.163

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic