Nvidia patents eye tracking that identifies users via facial recognition
Nvidia describes a method for tracking eye movement by first using a machine learning model to detect a face and identify the specific person. Once the user is identified, the system calculates where they are looking to trigger actions on a computing device.
In the filing’s own words
The disclosed method for eye tracking includes processing an image using a trained machine learning model that detects a face within the image and predicts an identity of the face, determining at least one of an eye gaze or a point of regard based on the face and the identity of the face, and performing, via a computing device, at least one action based on the at least one of the eye gaze or the point of regard.
What exactly they claim (claim 1)
1. A computer-implemented method for eye tracking, the method comprising: processing a first image using a first trained machine learning model that detects a face within the first image and predicts an identity of the face; determining at least one of an eye gaze or a point of regard based on the face and the identity of the face; and performing, via a computing device, at least one action based on the at least one of the eye gaze or the point of regard.
Facts
- Company
- Nvidia (NVIDIA CORPORATION)
- Official title
- TECHNIQUES FOR ALWAYS-ON EYE TRACKING
- Publication number
- US20260288234A1
- Application number
- 19088787
- Filed
- Mar 24, 2025
- Published
- Sep 24, 2026
- Inventors
- 7
- Claims
- 20
Classified under
G06F 3/013 Physics & computingA63F 13/213 Human necessitiesG06T 7/73 Physics & computingG06V 10/247 Physics & computingG06V 10/25 Physics & computingG06V 10/70 Physics & computingMore from Nvidia in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.