Neural network classifier for detection of travel mode associated with computing devices
US10952026B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 30, 2019 |
| Grant date | Mar 16, 2021 |
| Priority date | — |
| Expiry date | Oct 30, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W4/026
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Digital data corresponding to a trace by a device is received. The digital data includes location data and time data obtained over a period of time and representing movement of the device. A set of derived values for the plurality of metrics is calculated from the sets of values corresponding to the metrics, and the set of derived values is input to a neural network classification model to determine whether the received digital data represents movement of a first type. In response to determining that the digital data represents movement of the first type, the received digital data corresponding to the trace is labelled with the first type of movement.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.