An Open Platform for Studying and Testing Context-Aware Indoor Positioning Algorithms

  • Nearchos PaspallisEmail author
  • Marios Raspopoulos
Conference paper
Part of the Lecture Notes in Information Systems and Organisation book series (LNISO, volume 22)


This paper presents an open platform for studying and analyzing indoor positioning algorithms. While other such platforms exist, our proposal features novelties related to the collection and use of additional context data. The platform is realized in the form of a mobile client, currently implemented on Android. It enables manual collection of radio-maps—i.e. fingerprints of Wi-Fi signals—while also allowing for amending the fingerprints with various context data which could help improve the accuracy of positioning algorithms. While this is a research-in-progress platform, an initial experiment was carried out and its results were used to justify its applicability and relevance.


Indoor positioning Fingerprint Context-aware Android 


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Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  1. 1.University of Central LancashirePrestonUK

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