TU Darmstadt / ULB / TUbiblio

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

Becker, Holger and Borazio, Marko and Van Laerhoven, Kristof (2010):
How to Log Sleeping Trends? A Case Study on the Long-Term Capturing of User Data.
Passau, Germany, Springer Verlag, [Online-Edition: http://www.springerlink.com],
[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 and Borazio, Marko and Van Laerhoven, Kristof
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>

Volume: 6446
Place of Publication: Passau, Germany
Publisher: Springer Verlag
Divisions: 20 Department of Computer Science > Embedded Sensing Systems
20 Department of Computer Science
Date Deposited: 17 Jan 2012 09:55
Official URL: http://www.springerlink.com
Export:

Optionen (nur für Redakteure)

View Item View Item