Predictive eyetracking using recurrent neural networks
US11238340B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 2, 2017 |
| Grant date | Feb 1, 2022 |
| Priority date | — |
| Expiry date | Nov 23, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG02B2027/0187
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system predicts future positions or vergence depth of the user's eyes and generates gaze contingent content, such as for a head-mounted display (HMD), based on the predicted positions or vergence depth. The system includes an eye tracking controller that creates eye tracking information defining positions of a first eye and a second eye of a user over time. The eye tracking information is input to a neural network model that outputs the predicted positions or vergence depth. The predicted positions or vergence depth is then used to render the gaze contingent content, or to change other configurations of the HMD. Latency between the detection of user eye movement and the output of corresponding content is reduced to provide a more immersive real-time user experience.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.