Volltext-Downloads (blau) und Frontdoor-Views (grau)

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.

Download full text files

Export metadata

Additional Services

Share in Twitter Search Google Scholar


Author of HS ReutlingenGeisse, Dennis; John, Iven; Kotstein, Sebastian
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:Book chapter
Publication year:2016
Tag:Android applications; application architecture; big data applications; reality mining; sensor-based environments; smartphone features; wearable sensors
Page Number:14
First Page:187
Last Page:200
PPN:Im Katalog der Hochschule Reutlingen ansehen
DDC classes:004 Informatik
Open access?:Ja
Licence (German):License Logo  Open Access