Adaptive eye tracking machine learning model engine
US11704814B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 13, 2021 |
| Grant date | Jul 18, 2023 |
| Priority date | — |
| Expiry date | Nov 5, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/18
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In various examples, an adaptive eye tracking machine learning model engine (“adaptive-model engine”) for an eye tracking system is described. The adaptive-model engine may include an eye tracking or gaze tracking development pipeline (“adaptive-model training pipeline”) that supports collecting data, training, optimizing, and deploying an adaptive eye tracking model that is a customized eye tracking model based on a set of features of an identified deployment environment. The adaptive-model engine supports ensembling the adaptive eye tracking model that may be trained on gaze vector estimation in surround environments and ensemble based on a plurality of eye tracking variant models and a plurality of facial landmark neural network metrics.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.