Urban sensing: Using smartphones for transportation mode classification

@article{Shin2015UrbanSU,
  title={Urban sensing: Using smartphones for transportation mode classification},
  author={Dongyoun Shin and Daniel G. Aliaga and Bige Tunçer and Stefan M{\"u}ller Arisona and Sung Ah Kim and Dani Z{\"u}nd and Gerhard Schmitt},
  journal={Computers, Environment and Urban Systems},
  year={2015},
  volume={53},
  pages={76-86}
}
We present a prototype mobile phone application that implements a novel transportation mode detection algorithm. The application is designed to run in the background, and continuously collects data from built-in acceleration and network location sensors. The collected data is analysed automatically and partitioned into activity segments. A key finding of our work is that walking activity can be robustly detected in the data stream, which, in turn, acts as a separator for partitioning the data… CONTINUE READING
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