Partitioned Display Refresh for Fast Eye-Tracking Response
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Solution Overview
Problem
The current display systems using eye tracking technology struggle to respond in time when human eyes move rapidly, leading to a sense of lag and hysteresis in the displayed image.
Innovation Solution
The display region is divided into multiple areas based on fixation point coordinates, utilizing first controllers to refresh and display sub-images in these areas, with different refresh strategies for fixation and non-fixation areas, and employing driving chips and GOA circuits to manage image display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the GPU divides image data into multiple grid pieces and sends them to the display device according to fixed rules, then the display system can maintain a simple architecture, but the display device cannot respond in time when human eyes move rapidly, causing lag and hysteresis
Solution Approach 1:
The patent divides the display screen into multiple display areas, with each area independently controlled by separate controllers that can be directly connected to driving chips. This segmentation allows different regions to be updated independently and simultaneously, enabling the display system to respond quickly to eye movement by updating only the relevant display areas rather than processing the entire image through a centralized GPU pipeline.
2Loss of time
If the display device updates the entire image frame when eyes move rapidly, then the image can remain complete and accurate, but the system cannot respond in time, causing lag and affecting viewing experience
Solution Approach 1:
The patent implements different update strategies for different display areas based on their relationship to the fixation point. The first display area (containing or adjacent to the fixation point) receives high-priority rapid updates to maintain temporal accuracy, while the second display area (peripheral regions) may use lower-priority update mechanisms. This local differentiation allows the system to minimize time delay for critical regions while maintaining overall image completeness.
3Productivity
If multiple controllers are used to control different display areas independently, then the display device can respond timely to eye movements, but the device complexity increases due to multiple controllers and driving chips
Solution Approach 1:
The patent divides the display screen into multiple display areas, with each area independently controlled by separate controllers that can be directly connected to driving chips. This segmentation allows different regions to be updated independently and simultaneously, enabling the display system to respond quickly to eye movement by updating only the relevant display areas rather than processing the entire image through a centralized GPU pipeline.
Solution Approach 2:
The patent introduces a partition unit as an intermediary component that receives image data from the GPU and intelligently partitions it into multiple display areas, then directs each area to the appropriate controller. This intermediary simplifies the overall system architecture by automating the distribution logic, reducing the burden on the GPU, and enabling parallel processing without requiring complex coordination between multiple controllers.
4Device complexity
If the system uses a centralized GPU to process and send image data to the display device, then the system architecture remains simple, but the display device cannot respond in time when eyes move rapidly
Solution Approach 1:
The patent divides the display screen into multiple display areas, with each area independently controlled by separate controllers that can be directly connected to driving chips. This segmentation allows different regions to be updated independently and simultaneously, enabling the display system to respond quickly to eye movement by updating only the relevant display areas rather than processing the entire image through a centralized GPU pipeline.
Solution Approach 2:
The patent introduces a partition unit as an intermediary component that receives image data from the GPU and intelligently partitions it into multiple display areas, then directs each area to the appropriate controller. This intermediary simplifies the overall system architecture by automating the distribution logic, reducing the burden on the GPU, and enabling parallel processing without requiring complex coordination between multiple controllers.
Data Source
AI summary
A method for partition display and display device. The method includes: receiving and displaying by the display device, the current frame image, obtaining the fixation point coordinates (100) of the user on the display screen (600) of the display device; according to the fixation point coordinates, dividing the display region of the display screen (600) into a plurality of display areas, and determining first controllers respectively corresponding to the plurality of display areas, and each first controller includes at least one driving chip (SD#1, SD#2, SD#3, SD#4, SD#5, SD#6, SD#7, and SD#8) (101); receiving the next frame image, using the first controllers to respectively control the next frame image for being displayed in the plurality of display areas, wherein the next frame image includes a plurality of sub-images, and one display region is used for displaying one sub-image (102).