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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.
doi: 10.1007/978-3-642-16982-3_2
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (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>

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2010
Autor(en): Becker, Holger ; Borazio, Marko ; Laerhoven, Kristof Van
Art des Eintrags: Bibliographie
Titel: How to Log Sleeping Trends? A Case Study on the Long-Term Capturing of User Data
Sprache: Englisch
Publikationsjahr: 2010
Ort: Passau, Germany
Verlag: Springer Verlag
Buchtitel: Smart Sensing and Context
Band einer Reihe: 6446
DOI: 10.1007/978-3-642-16982-3_2
URL / URN: https://link.springer.com/chapter/10.1007/978-3-642-16982-3_...
Kurzbeschreibung (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>

Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Eingebettete Sensorsysteme
Hinterlegungsdatum: 17 Jan 2012 09:55
Letzte Änderung: 05 Aug 2021 09:44
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