TY  - CHAP
U1  - Buchbeitrag
A1  - Geisse, Dennis
A1  - John, Iven
A1  - Kotstein, Sebastian
ED  - Hertweck, Dieter
T1  - A survey on smartphone features relevant for reality mining
T2  - Digital Enterprise Computing (DEC 2016) : Böblingen, Germany, June 14 - 15, 2016
N2  - The acquisition of data for reality mining applications is a critical factor, since many mobile devices, e.g. smartphones, must be capable of capturing the required data. Otherwise, only a small target group would be able to use the reality mining application. In the course of a survey, we have identified smartphone features which might be relevant for various reality mining applications. The survey classifies these features and shows how the support of each feature has changed over the years by analyzing 143 smartphones released between 2004 and 2015. All analyzed devices can be ranked by their number of provided features. Furthermore, this paper deals with quality issues which have occurred during carrying out the survey.
Y1  - 2016
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-9258
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-9258
UR  - http://subs.emis.de/LNI/Proceedings/Proceedings258/article8.html
SN  - 978-3-88579-652-7
SB  - 978-3-88579-652-7
SP  - 107
EP  - 116
S1  - 10
PB  - Gesellschaft für Informatik
CY  - Bonn
ER  - 
TY  - CHAP
U1  - Buchbeitrag
A1  - Geisse, Dennis
A1  - John, Iven
A1  - Kotstein, Sebastian
ED  - Hertweck, Dieter
T1  - Reality mining in sensor-based mobile-driven environments
T2  - Digital Enterprise Computing (DEC 2016) : Böblingen, Germany, June 14-15, 2016
N2  - 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.
KW  - reality mining
KW  - application architecture
KW  - sensor-based environments
KW  - smartphone features
KW  - wearable sensors
KW  - Android applications
KW  - big data applications
Y1  - 2016
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-9339
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-9339
UR  - http://subs.emis.de/LNI/Proceedings/Proceedings258/article9.html
SN  - 978-3-88579-652-7
SB  - 978-3-88579-652-7
SP  - 187
EP  - 200
S1  - 14
PB  - Gesellschaft für Informatik
CY  - Bonn
ER  -