Generating physio-realistic avatars for training non-contact models to recover physiological characteristics
US12347011B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 11, 2023 |
| Grant date | Jul 1, 2025 |
| Priority date | — |
| Expiry date | Sep 11, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are provided that are directed to generating video sequences including physio-realistic avatars. In examples, an albedo for an avatar is received, a sub-surface skin color associated with the albedo is modified based on physiological data associated with physiologic characteristic, and an avatar based on the albedo and the modified sub-surface skin color is rendered. The rendered avatar may then be synthesized in a frame of video. In some examples, a video including the synthesized avatar may be used to train a machine learning model to detect a physiological characteristic. The machine learning model may receive a plurality of video segments, where one or more of the video segments includes a synthetic physio-realistic avatar generated with the physiological characteristic. The machine learning model may be trained using the plurality of video segments. The trained model may be provided to a requesting entity.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.