Patent · US Active

Deep learning for three dimensional (3D) gaze prediction

US11301677B2 · kind B2 · utility

3Cited by

2References

15Claims

0Family size

Assignee

Tobil AB · SE

Inventors

David Molin · Danderyd, SE
Tommaso Martini · Danderyd, SE
Maria Gordon · Danderyd, SE
Alexander Davies · Joondalup, AU
Oscar Danielsson · Stockholm, SE

Key dates

Filing date	Jun 15, 2020
Grant date	Apr 12, 2022
Priority date	—
Expiry date	Jul 2, 2040

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/30201
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

There is disclosed a computer implemented eye tracking system and corresponding method and computer readable storage medium, for detecting three dimensional, 3D, gaze, by obtaining at least one head pose parameter using a head pose prediction algorithm, the head pose parameter(s) comprising one or more of a head position, pitch, yaw, or roll; and to input the at least one head pose parameter along with at least one image of a user's eye, generated from a 2D image captured using an image sensor associated with the eye tracking system, into a neural network configured to generate 3D gaze information based on the at least one head pose parameter and the at least one eye image.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.