Eye gaze tracking using neural networks
US10127680B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 28, 2016 |
| Grant date | Nov 13, 2018 |
| Priority date | — |
| Expiry date | Jun 28, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30201
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for gaze position prediction using neural networks. One of the systems includes a neural network comprising one or more neural network layers, wherein the neural network is configured to obtain a collection of input facial images of a user, wherein the collection of input facial images of the user comprises (i) a query image of the user, (ii) one or more calibration images of the user, and (iii) a respective calibration label that labels a known gaze position of the user for each of the one or more calibration images of the user; and process the received collection of input facial images of the user using the one or more neural network layers to generate a neural network output that characterizes a gaze position of the user in the query image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.