Systems and methods for weight measurement from user photos using deep learning networks
US10962404B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 26, 2020 |
| Grant date | Mar 30, 2021 |
| Priority date | — |
| Expiry date | Mar 26, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30196
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed are systems and methods for body weight prediction from one or more images. The method includes the steps of receiving one or more subject parameters; receiving one or more images containing a subject; identifying one or more annotation key points for one or more body features underneath a clothing of the subject from the one or more images utilizing one or more annotation deep-learning networks; calculating one or more geometric features of the subject based on the one or more annotation key points; and generating a prediction of the body weight of the subject utilizing a weight machine-learning module based on the one or more geometric features of the subject and the one or more subject parameters.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.