A mobile sensor data acquisition and evaluation framework for crowd sourcing data

Authors:
Nicolas Billen;Johannes Lauer;Alexander Zipf
Affiliations:
University of Heidelberg, Heidelberg, Germany;University of Heidelberg, Heidelberg, Germany;University of Heidelberg, Heidelberg, Germany
Venue:
Proceedings of the Second ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information
Year:
2013

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Abstract

Nowadays mobile phones and especially smart phones are common technical communication devices. Most of them are equipped with a huge number of sensors that detect environment and user interaction. The processing of the sensor measurements is a big challenge as the data is very heterogeneous and frequently available. Usage of these low cost sensors and combining them with other data sources is one of the most promising tasks and will speed up the crowd sourced (geo-)data in the future. This vision will only become reality if we are able to establish techniques to integrate different devices and test many varied situations. In this work, we present a framework for storing, fusioning and processing of mobile smartphone sensor data. Further we give an outlook on possible applications and our future work.