Gaze-Driven Display Region Enhancement via Squint Detection
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Solution Overview
Problem
Users often face difficulty in viewing small text or low contrast images on displays, especially in mobile devices, where automatic enhancement without user intervention is desirable to improve visibility and visual clarity.
Innovation Solution
A system and method that detects user squinting and gaze direction using infrared light and facial recognition, enhancing the display region of interest by adjusting contrast, zooming, and modifying graphical user interface elements to improve image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the display shows small text or low contrast images, then the device can display more information, but the user has trouble seeing the region of interest
Solution Approach 1:
The system applies different display qualities to different regions of the screen. When a region of interest is detected through eye tracking, that specific area receives enhanced processing (higher resolution, adjusted contrast, sharpening) while other areas maintain normal display parameters, thus providing localized quality improvement without affecting overall information density.
Solution Approach 2:
The display enhancement is dynamic and adapts in real-time based on user gaze. The system continuously monitors eye position and automatically adjusts which regions receive enhancement, allowing the high-quality display area to move dynamically across the screen as the user shifts their attention between different content areas.
2Ease of operation
If the display is enhanced automatically without user intervention, then user convenience is improved, but the system complexity increases
Solution Approach 1:
The system performs self-service by automatically detecting user gaze and applying enhancements without requiring manual input. The eye tracking system continuously monitors the user's eye position and autonomously adjusts display parameters in the detected region of interest, eliminating the need for user commands or manual zoom/contrast adjustments.
Solution Approach 2:
The system uses feedback from the eye tracking system to continuously adjust display enhancement. By monitoring eye position in real-time and using this feedback to dynamically modify which regions receive enhancement, the system adapts to user needs automatically, creating a closed-loop control system that improves convenience while managing complexity through intelligent automation.
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
Automatically enhances the display region where the user is looking, improving visibility and clarity without user interaction, by detecting squinting and using infrared pupil tracking to adjust contrast and GUI elements accordingly.
Implementation Method 1
receiving an infrared image of a face of the user and detecting a region on the display where the user is looking in accordance with the infrared image
Data Source
Figure 1~3
Figure 4A
Figure 4B
AI summary
A method for enhancing a display (125), a mobile device (360) and a wearable device (392) are provided. The method includes receiving an optical image of a face of a user (122) and detecting whether the user (122) is squinting in accordance with the optical image; detecting a region on the display (125) where the user (122) is looking and enhancing the region on the display (125) where the user (122) is looking when the user (122) is squinting.