Neural network based determination of gaze direction using spatial models
US12314854B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 10, 2023 |
| Grant date | May 27, 2025 |
| Priority date | — |
| Expiry date | Jun 20, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/193
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for determining the gaze direction of a subject and projecting this gaze direction onto specific regions of an arbitrary three-dimensional geometry. In an exemplary embodiment, gaze direction may be determined by a regression-based machine learning model. The determined gaze direction is then projected onto a three-dimensional map or set of surfaces that may represent any desired object or system. Maps may represent any three-dimensional layout or geometry, whether actual or virtual. Gaze vectors can thus be used to determine the object of gaze within any environment. Systems can also readily and efficiently adapt for use in different environments by retrieving a different set of surfaces or regions for each environment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.