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

In: Complexity in Information Systems Development

Author

Listed:
  • Nearchos Paspallis

    (University of Central Lancashire)

  • Marios Raspopoulos

    (University of Central Lancashire)

Abstract

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.

Suggested Citation

  • Nearchos Paspallis & Marios Raspopoulos, 2017. "An Open Platform for Studying and Testing Context-Aware Indoor Positioning Algorithms," Lecture Notes in Information Systems and Organization, in: Jerzy Goluchowski & Malgorzata Pankowska & Henry Linger & Chris Barry & Michael Lang & Christoph Sch (ed.), Complexity in Information Systems Development, pages 39-50, Springer.
    • Handle: RePEc:spr:lnichp:978-3-319-52593-8_3
    DOI: 10.1007/978-3-319-52593-8_3
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