Automatic building detection and classification using elevator/escalator/stairs modeling-user profiling
US11494673B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 24, 2020 |
| Grant date | Nov 8, 2022 |
| Priority date | — |
| Expiry date | May 6, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0205
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system, a method and a computer program product are provided to determine user profile of one or more users in one or more buildings, using a machine learning model. The system may include at least one memory configured to store computer executable instructions and at least one processor configured to execute the computer executable instructions to obtain mobility features associated with the one or more buildings in a geographic region. The processor may be configured to determine using a trained machine learning model, one or more transport modes for the one or more buildings. The processor may be further configured to obtain indoor mobility data of the one or more users based on the one or more transport modes for the one or more buildings. The processor may be further configured determine the user profile of the one or more users in the one or more buildings.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.