TU Darmstadt / ULB / TUbiblio

How to Log Sleeping Trends? A Case Study on the Long-Term Capturing of User Data

Becker, Holger ; Borazio, Marko ; Laerhoven, Kristof Van (2010):
How to Log Sleeping Trends? A Case Study on the Long-Term Capturing of User Data.
6446, In: Smart Sensing and Context, pp. 15-27,
Passau, Germany, Springer Verlag, ISBN 978-3-642-16982-3,
DOI: 10.1007/978-3-642-16982-3_2,
[Conference or Workshop Item]

Abstract

<p>Designing and installing long-term monitoring equipment in the users home sphere often presents challenges in terms of reliability, privacy, and deployment. Taking the logging of sleeping postures as an example, this study examines data from two very different modalities, high-fidelity video footage and logged wrist acceleration, that were chosen for their ease of setting up and deployability for a sustained period. An analysis shows the deployment challenges of both, as well as what can be achieved in terms of detection accuracy and privacy. Finally, we evaluate the benefits that a combination of both modalities would bring.</p>

Item Type: Conference or Workshop Item
Erschienen: 2010
Creators: Becker, Holger ; Borazio, Marko ; Laerhoven, Kristof Van
Title: How to Log Sleeping Trends? A Case Study on the Long-Term Capturing of User Data
Language: English
Abstract:

<p>Designing and installing long-term monitoring equipment in the users home sphere often presents challenges in terms of reliability, privacy, and deployment. Taking the logging of sleeping postures as an example, this study examines data from two very different modalities, high-fidelity video footage and logged wrist acceleration, that were chosen for their ease of setting up and deployability for a sustained period. An analysis shows the deployment challenges of both, as well as what can be achieved in terms of detection accuracy and privacy. Finally, we evaluate the benefits that a combination of both modalities would bring.</p>

Title of Book: Smart Sensing and Context
Volume: 6446
Place of Publication: Passau, Germany
Publisher: Springer Verlag
ISBN: 978-3-642-16982-3
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Embedded Sensing Systems
Date Deposited: 17 Jan 2012 09:55
DOI: 10.1007/978-3-642-16982-3_2
Official URL: https://link.springer.com/chapter/10.1007/978-3-642-16982-3_...
Export:
Suche nach Titel in: TUfind oder in Google
Send an inquiry Send an inquiry

Options (only for editors)
Show editorial Details Show editorial Details