Neural network—instantiated lightweight calibration of RSS fingerprint dataset
First Claim
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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Abstract
A method and system of instantiating a lightweight re-calibration of a received signal strength (RSS) fingerprint dataset for mobile device indoor navigation. The method comprises, 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, instantiating a re-calibration of the RSS fingerprint dataset for mobile device navigation within the portion of the indoor area.
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Citations
20 Claims
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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:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A server computing system for instantiating a lightweight re-calibration of a received signal strength (RSS) fingerprint dataset for mobile device indoor navigation, the server computing system comprising:
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a processor; and a memory including instructions executable in the processor to; based on RSS parameters acquired from a plurality of mobile devices acquired at a set of positions within an indoor area, accumulate the RSS parameters in accordance with a trained neural network-based RSS fingerprint dataset in a fingerprint database of the indoor area; identify 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 instantiate 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. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification