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Neural network—instantiated lightweight calibration of RSS fingerprint dataset

  • US 10,641,610 B1
  • Filed: 06/03/2019
  • Issued: 05/05/2020
  • Est. Priority Date: 06/03/2019
  • Status: Active Grant
First Claim
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1. A method, executed in a processor of a server computing device, of instantiating a lightweight re-calibration of a received signal strength (RSS) fingerprint dataset for mobile device indoor navigation, the method comprising:

  • based on RSS parameters acquired from a plurality of mobile devices acquired at a set of positions within an indoor area, accumulating the RSS parameters in accordance with a trained neural network-based RSS fingerprint dataset in a fingerprint database of the indoor area;

    identifying respective positions of a subset of the set of positions having a variance that exceeds a threshold variance between observed RSS parameters and RSS parameters determined in accordance the trained neural network; and

    when contiguous positions of the subset are encompassed by a boundary representing a portion of the indoor area, automatically instantiating a re-calibration of the RSS fingerprint dataset for mobile device navigation within the portion of the indoor area, the portion having the variance exceeding the threshold variance.

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