Maintaining a trained neural network in magnetic fingerprint based indoor navigation
US11402233B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 23, 2019 |
| Grant date | Aug 2, 2022 |
| Priority date | — |
| Expiry date | May 3, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W4/33
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system of maintaining a trained neural network for mobile device indoor navigation and positioning. The method comprises receiving a set of magnetic measured parameters acquired at a mobile device positioned at a first location of an indoor area; computing, at an output layer of a trained neural network, an output error based on comparing a magnetic input feature in accordance with the magnetic measured parameters to a magnetic output feature generated at the output layer, the magnetic output feature being generated at least in part based on a matrix of weights associated with at least a first neural network layer; and if the output error exceeds a threshold value, re-training the neural network based at least in part upon re-initializing the matrix of weights associated with the at least a first neural network layer.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.