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Reality mining in sensor-based mobile-driven environments

  • Reality mining refers to an application of data mining, using sensor data to drive behavioral patterns in the real world. However, research in this field started a decade ago when technology was far behind today's state of the art. This paper discusses which requirements are now posed to applications in the context of reality mining. A survey has shown which sensors are available in state-of-the-art smartphones and usable to gather data for reality mining. As another contribution of this paper, a reality mining application architecture is proposed to facilitate the implementation of such applications. A proof of concept verifies the assumptions made on reality mining and the presented architecture.

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Metadaten
Name:Geisse, Dennis; John, Iven; Kotstein, Sebastian
URN:urn:nbn:de:bsz:rt2-opus4-9339
URL:http://subs.emis.de/LNI/Proceedings/Proceedings258/article9.html
ISBN:978-3-88579-652-7
Erschienen in:Digital Enterprise Computing (DEC 2016) : Böblingen, Germany, June 14-15, 2016
Publisher:Gesellschaft für Informatik
Place of publication:Bonn
Editor:Dieter Hertweck
Document Type:Part of a Book
Language:English
Year of Publication:2016
Tag:Android applications; application architecture; big data applications; reality mining; sensor-based environments; smartphone features; wearable sensors
Pagenumber:14
First Page:187
Last Page:200
Catalogue entry:Im Katalog der Hochschule Reutlingen ansehen
Dewey Decimal Classification:004 Informatik
Open Access:Ja
Licence (German):License Logo  Open Access