Tool support for detection and analysis of following and leadership behavior of pedestrians from mobile sensing data

@article{Kjrgaard2014ToolSF,
  title={Tool support for detection and analysis of following and leadership behavior of pedestrians from mobile sensing data},
  author={Mikkel Baun Kj{\ae}rgaard and Henrik Blunck},
  journal={Pervasive and Mobile Computing},
  year={2014},
  volume={10},
  pages={104-117}
}
The vast availability ofmobile phoneswith built-inmovement and location sensors enables the collection of detailed information about human movement even indoors. As mobility is a key element of many processes and activities, an interesting class of information to extract is movement patterns that quantify how humans move, interact and group. In this paper we propose methods for detecting two common pedestrian movement patterns, namely individual following relations and group leadership. The… CONTINUE READING

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Key Quantitative Results

  • We provide evaluation results that show error rates down to 7%, improving over state-of-the-artmethodswith up to eleven percentage points for following patterns and up to twenty percentage points for leadership patterns.

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