Automated personalized classification of journey data captured by one or more movement-sensing devices
US11580351B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 22, 2018 |
| Grant date | Feb 14, 2023 |
| Priority date | — |
| Expiry date | Oct 29, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/082
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A technique is described herein for automatically logging journeys taken by a user, and then automatically classifying the purposes of the journeys. In one implementation, the technique obtains journey data from one or more movement-sensing devices as a user travels from a starting location to an ending location in a vehicle. The technique generates a set of features based on the journey data, and then uses a machine-trainable model (such as a neural network) to make its classification based on the features. The machine-trainable model accepts at least one feature that is based on statistical information regarding at least one aspect of prior journeys that the user has taken. Overall, the technique provides a resource-efficient solution that rapidly provides personalized results to individual respective users. In some implementations, the technique performs its personalization without sharing journey data with a remote server.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.