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Enhanced positioning through inference of mobile terminal context

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review



This paper presents a framework for positioning in the London Underground
system on a standard mobile phone. A rule based algorithm is applied that uses: (i) data provided by Transport for London (TfL) and (ii) readings from accelerometers on a standard android mobile phone. The system relies on a database built up from average times taken to complete transitions between adjacent underground stations. Results are presented showing the efficiency of the developed system.