Johannes Lauer
Alexander Zipf
ABSTRACT
This paper provides a sample for acquiring and processing crowd sourced mobile sensor data. An infrastructure for receiving and storing has been developed as well as the corresponding clients that collect smartphone sensor data and send them to the server. Tests and statistics were generated to get first impressions how data logging and storing will work. To analyze the collected data, a web based visualizing toolkit has been connected as well as a processing framework to generate refined geodata. Giving an example on possibilities with crowd sourced sensor data a classification approach using crowd generated categories and data mining methods.
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Index Terms
- Processing crowd sourced sensor data: from data acquisition to application
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