@inproceedings{GeisseJohnKotstein2016,
  author    = {Geisse, Dennis and John, Iven and Kotstein, Sebastian},
  title     = {Reality mining in sensor-based mobile-driven environments},
  booktitle = {Digital Enterprise Computing (DEC 2016) : B{\"o}blingen, Germany, June 14-15, 2016},
  editor    = {Hertweck, Dieter},
  isbn      = {978-3-88579-652-7},
  url       = {http://subs.emis.de/LNI/Proceedings/Proceedings258/article9.html},
  institution = {Informatik},
  pages     = {187 -- 200},
  year      = {2016},
  abstract  = {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.},
  language  = {en}
}