Systems and methods for capturing training data for a gaze estimation model
US10866635B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Sep 13, 2018 |
| Grant date | Dec 15, 2020 |
| Priority date | — |
| Expiry date | Dec 27, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A method of training a gaze estimation model includes displaying a target image at a known location on a display in front of a subject and receiving images captured from a plurality of image sensors surrounding the subject, wherein each image sensor has a known location relative to the display. The method includes determining a reference gaze vector for one or more eyes of the subject based on the images and the known location of the target image and then determining, with the model, a gaze direction vector of each of the one or more eyes of the subject from data captured by an eye-tracker. The method further includes determining, with the model, an uncertainty in measurement of the gaze direction vector and an error between the reference gaze vector and the gaze direction vector and providing feedback based on at least one of the uncertainty and the error.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.