Magnetic field based Indoor positioning using the Bag of Words paradigm

Abstract

Ponencia presentada en 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 4-7 Oct. 2016In this paper, A Bag of Words based method is presented to test a magnetic field based indoor positioning method. The Indoor positioning problem is solved as a pattern recognition problem, where each reference point is a different class. Feature vectors are constructed using a simplified bag of words methodology allowing user speed invariance. Several well known classifiers have been used to test the proposed method obtaining promising results when recognition the position of the user

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