Crowdsourced Trace Similarity with Smartphones

@article{ZeinalipourYazti2013CrowdsourcedTS,
  title={Crowdsourced Trace Similarity with Smartphones},
  author={Demetrios Zeinalipour-Yazti and Christos Laoudias and Constantinos Costa and Michail Vlachos and Maria I. Andreou and Dimitrios Gunopulos},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2013},
  volume={25},
  pages={1240-1253}
}
Smartphones are nowadays equipped with a number of sensors, such as WiFi, GPS, accelerometers, etc. This capability allows smartphone users to easily engage in crowdsourced computing services, which contribute to the solution of complex problems in a distributed manner. In this work, we leverage such a computing paradigm to solve efficiently the following problem: comparing a query trace Q against a crowd of traces generated and stored on distributed smartphones. Our proposed framework, coined… CONTINUE READING
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