loading
Documents

Research.Publish.Connect.

Paper

Authors: Alexander Gerka 1 ; Christian Lins 1 ; Max Pfingsthorn 1 ; Marco Eichelberg 1 ; Sebastian Müller 2 ; Christian Stolle 2 and Andreas Hein 2

Affiliations: 1 OFFIS - Institute for Information Technology, Escherweg 2, Oldenburg, Germany ; 2 Department for Health Services Research, Carl-von-Ossietzky University, Oldenburg, Germany

ISBN: 978-989-758-353-7

Keyword(s): Behavior Modeling, Assisted Living, Dementia, Activities of Daily Living, Clustering, χ2-statistic.

Abstract: The modeling of behavior by monitoring activities of daily living allows caregivers to recognize early stages of dementia. Therefore, many monitoring systems were presented in recent years. In this work, we present a behavior modeling system that is based only on two adjustable parameters and provides a single standardized output statistic. Therefore, this system enhances the comparison of recent and future activity monitoring systems. The approach is comprised of three parts: First, the clustering of power plug data to detect time windows in which appliances are used regularly. Second, the calculation of a comparison Matrix. Third the test of change using the χ2-statistic. We tested this approach successfully in a seven-month field study with two healthy subjects. We showed that the χ2-statistic reflected how regular activities were performed and that one to two months, depending on the regularity of the performed activities, provide the necessary amount of reference data for our app roach to work. (More)

PDF ImageFull Text

Download
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 3.208.22.127

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:
Gerka, A.; Lins, C.; Pfingsthorn, M.; Eichelberg, M.; Müller, S.; Stolle, C. and Hein, A. (2019). A Clustering-based Approach to Determine a Standardized Statistic for Daily Activities of Elderly Living Alone.In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, ISBN 978-989-758-353-7, pages 264-271. DOI: 10.5220/0007369302640271

@conference{healthinf19,
author={Alexander Gerka. and Christian Lins. and Max Pfingsthorn. and Marco Eichelberg. and Sebastian Müller. and Christian Stolle. and Andreas Hein.},
title={A Clustering-based Approach to Determine a Standardized Statistic for Daily Activities of Elderly Living Alone},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF,},
year={2019},
pages={264-271},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007369302640271},
isbn={978-989-758-353-7},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF,
TI - A Clustering-based Approach to Determine a Standardized Statistic for Daily Activities of Elderly Living Alone
SN - 978-989-758-353-7
AU - Gerka, A.
AU - Lins, C.
AU - Pfingsthorn, M.
AU - Eichelberg, M.
AU - Müller, S.
AU - Stolle, C.
AU - Hein, A.
PY - 2019
SP - 264
EP - 271
DO - 10.5220/0007369302640271

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.