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.
| Author of HS Reutlingen | 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: | Book chapter |
| Language: | English |
| 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): |  Open Access |
