Method and system of crowd- sourced magnetic fingerprinting with neural network re-training
US11435189B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 4, 2019 |
| Grant date | Sep 6, 2022 |
| Priority date | — |
| Expiry date | Jan 2, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W4/33
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems of crowd-sourced magnetic fingerprinting for mobile device indoor navigation with neural network re-training are described. In an example, at multiple locations, magnetic input parameters in accordance with a magnetic infrastructure profile of an indoor area are determined. Further, from a mobile device positioned at a first location, measured magnetic parameters at respective ones of multiple locations are received. A route segment similarity factor for the mobile device based on the measured magnetic parameters of a corresponding route segment accessible from the magnetic fingerprint dataset is computed. If the similarity factor exceeds a threshold, the magnetic measured parameters are added to the magnetic fingerprint dataset. For at least a second location along the route, another set of magnetic measured parameters is received from the mobile device. At an output layer of a neural network, an error matrix is computed and an initial weight matrix is recursively adjusted to diminish the error matrix.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.