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Train the Eye Tracking Model

A technology of eye tracking and models, applied in the direction of acquiring/recognizing eyes, character and pattern recognition, instruments, etc., can solve problems such as not so good performance

Active Publication Date: 2022-01-11
TOBII TECH AB
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If only certain types of situations / scenarios are represented in the training data (e.g. only small gaze angles, or only well-lit images), eye-tracking algorithms can perform well for such situations / scenarios, but not for Other situations / situations not covered during the training phase may not perform as well

Method used

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  • Train the Eye Tracking Model
  • Train the Eye Tracking Model

Examples

Experimental program
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Embodiment Construction

[0034] Throughout this disclosure, the term "eye tracking sensor" relates to a sensor adapted to obtain sensor data for eye tracking. While the eye tracking sensor may be, for example, an imaging device such as a camera, several other types of sensors may also be employed for eye tracking. For example, an eye-tracking sensor can employ light, sound, magnetic or electric fields to obtain sensor data that (e.g., in combination with sensor data from other sensors) can be used to determine where the eye is and / or the direction the eye is looking . The eye tracking sensor may eg be arranged to (or configured to) monitor the eyes. The eye tracking sensor may for example be arranged (or configured to) only perform measurements (or obtain sensor data) when instructed to do so. In other words, eye tracking sensors do not necessarily perform constant / continuous monitoring of the eyes.

[0035] Throughout this disclosure, the term "imaging device" relates to a device adapted to captur...

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PUM

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Abstract

A method (300) for training an eye tracking model (710), as well as a corresponding system (400) and storage medium are disclosed. The eye-tracking model is adapted to predict eye-tracking data based on sensor data (709) from a first eye-tracking sensor (411). The method includes: receiving (301) sensor data obtained by the first eye-tracking sensor at a time; and receiving (302) data generated by an eye-tracking system (420) including a second eye-tracking sensor (421) for the time The reference eye-tracking data for . The reference eye-tracking data is generated by the eye-tracking system based on sensor data obtained by the second eye-tracking sensor at the time instant. The method includes training (303) the eye-tracking model based on the sensor data obtained by the first eye-tracking sensor at the instant in time and the generated reference eye-tracking data.

Description

technical field [0001] This disclosure generally relates to eye tracking. Background technique [0002] A number of different techniques have been developed for monitoring which direction (or which point on the display) the user is looking. This is often called gaze tracking. Such techniques generally involve detecting certain features in an image of the eye, and then calculating a gaze direction or point of gaze based on the locations of these detected features. An example of such a gaze tracking technique is the Pupil Central Corneal Reflex (PCCR). PCCR-based gaze tracking uses the location of the center of the pupil and the location of the glint (the reflection of the light emitting device at the cornea) to calculate the gaze direction of the eye or the point of fixation on the display. [0003] Another term that is often employed in this context is "eye tracking". Eye tracking does not necessarily involve tracking a user's gaze (eg, in the form of gaze direction or f...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06F18/214G06F3/013H04N13/344H04N13/383G06F3/01G02B27/0093G06V40/19G01S7/282G01S7/285G01S7/4008G01S13/003
Inventor 卡尔·阿斯普伦德帕特里克·巴克曼安德斯·达尔奥斯卡·丹尼尔森托马索·马蒂尼马尔滕·尼尔森
Owner TOBII TECH AB
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