Systems and methods for gaze-tracking
US11619993B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 19, 2021 |
| Grant date | Apr 4, 2023 |
| Priority date | — |
| Expiry date | May 17, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30201
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are provided for predicting an eye gaze location of an operator of a computing device. In particular, the method generates an image grid that includes regions of interest based on a facial image. The facial image is based on a received image frame of a video stream that captures the operator using the computing device. The image grid further includes a region that indicate rotation information of the face. The method further uses a combination of trained neural networks to extract features of the regions of interest in the image grid and predict the eye gaze location on the screen of the computing device. The trained set of neural networks includes a convolutional neural network. The method optionally generate head pose pitch, roll, and yaw information to improve accuracy of predicting the location of an eye gaze.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.