Eye Model Gaze Tracking Using Pupil and Retina Imaging

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Solution Overview

Problem

Existing wearable electronic devices struggle to accurately track and interpret a user's gaze direction for optimizing display operations, such as enlarging or shrinking specific portions on a screen, due to limitations in eye image processing and gaze detection.

Innovation Solution

The device includes a camera and a light source to capture and emit light of a preset wavelength band, allowing for the extraction of pupil and retina images, which are used to create an eye model to identify the position and gaze direction of the user's eye, and a display that sequentially displays objects to induce gaze at different positions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional gaze tracking methods are used, then the device can track gaze direction, but the precision in identifying pupil position and shape is insufficient

Engineering Contradiction:
Improvepupil position and shape identification precisionVSAvoidgaze direction determination accuracy
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent segments the eye image processing into distinct components: pupil detection, iris detection, and gaze direction calculation. By separately identifying the pupil region and iris pattern, the system achieves more precise measurements of pupil position and shape, which directly improves gaze tracking accuracy while maintaining system reliability

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent performs preliminary actions by first detecting the pupil position and shape before calculating gaze direction. The system also pre-stores iris patterns for comparison, enabling accurate gaze determination without requiring complex real-time processing during actual use, thus improving both precision and reliability

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If the eye model is continuously updated to improve tracking accuracy, then gaze direction identification becomes more precise, but the computational complexity increases

Engineering Contradiction:
Improvegaze direction tracking accuracyVSAvoidcomputational complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent performs preliminary actions by first detecting the pupil position and shape before calculating gaze direction. The system also pre-stores iris patterns for comparison, enabling accurate gaze determination without requiring complex real-time processing during actual use, thus improving both precision and reliability

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system updates the eye model periodically based on detected eye movements and changes in pupil position. Rather than continuous complex calculations, the model is refreshed at appropriate intervals when significant changes are detected, maintaining high tracking accuracy while reducing overall computational complexity

Inventive Principle:
Principle #19Periodic action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Accurately identifies the gaze direction and position of the user's eye, enabling precise control of display operations based on gaze, enhancing user interaction with wearable devices like AR and VR systems.

Implementation Method 1

a light source configured to emit light of a preset wavelength band to the eye

Methodology Applied
Scientific EffectLight emission: Light

Data Source

PatentUS12633165B2Electronic device identifying direction of gaze and method for operating the same
Publication Date: 2026.05.19 SAMSUNG ELECTRONICS CO LTD
  • US12633165B2 patent drawing
  • US12633165B2 patent drawing
  • US12633165B2 patent drawing

AI summary

An electronic device may include a camera and at least one processor. The at least one processor may be configured to obtain an eye image of a user through the camera, obtain pupil data and a retina image from the obtained eye image, obtain an eye model including the retina image, based on the obtained pupil data and the obtained retina image, and identify at least one of a position of an eye or a gaze direction, based on the obtained eye model.