Head-Mounted Display Adapted to Human Visual Mechanism
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Solution Overview
Problem
Current head-mounted display systems waste resources due to conventional LCD display panels rendering each pixel at full resolution, disregarding the human visual system's resolution limits, where the retina has high resolution at the fovea and lower resolution peripherally, leading to inefficient power and area usage.
Innovation Solution
Implementing a dual eye-specific display system that tracks user eye movements to differentiate between foveal and extra-foveal regions, rendering foveal data at full resolution and extra-foveal data at reduced resolution, with shared buffers and alpha-blending between depth-planes, to optimize resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If conventional LCD display panels render each pixel at full resolution, then visual quality is maintained, but power consumption and processing resources increase
Solution Approach 1:
The patent applies local quality by rendering different regions of the display at different resolutions based on human visual sensitivity. The foveal region (central vision) is rendered at full resolution while peripheral regions are rendered at lower resolution, matching the non-uniform density of photoreceptors in the human retina. This resolves the contradiction by maintaining high visual quality where needed while reducing power consumption in less critical areas.
Solution Approach 2:
The display is segmented into multiple regions (foveal and peripheral zones) with different rendering requirements. By dividing the display area and applying different resolution levels to different segments, the system optimizes the balance between visual quality and power consumption, avoiding the need to render the entire display at uniform high resolution.
2Reliability
If full resolution rendering is applied to entire display, then visual realism is improved, but processing time and computational resources increase
Solution Approach 1:
The system applies local quality by identifying and rendering only the foveal region (where human vision is most sensitive) at full resolution, while using reduced resolution for peripheral regions. This maintains visual realism in the critical central area while significantly improving rendering efficiency by reducing the total number of pixels that require high-fidelity processing.
Solution Approach 2:
The rendering system dynamically adjusts resolution based on the user's eye position and movement. As the user moves their eyes across the display, the high-resolution foveal region dynamically shifts position, and the system continuously adapts which areas receive full rendering resources. This dynamic adaptation maintains visual realism where the user is actually looking while optimizing productivity across the entire display over time.
3Manufacturing precision
If high resolution is maintained across entire display, then image detail is preserved, but memory requirements and device area increase
Solution Approach 1:
The patent implements local quality by storing and processing high-resolution image data only for the foveal region while using lower-resolution representations for peripheral areas. This dramatically reduces the total memory required to store display data and the physical area needed for frame buffers, while preserving image detail in the visually critical central region where users actually focus their attention.
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
This approach reduces resource consumption by minimizing unnecessary rendering, enhancing efficiency and power savings while maintaining a realistic visual experience by focusing on high-resolution central vision and reducing peripheral detail.
Implementation Method 1
The system tracks the user's eye movements and/or positions, in some implementations, based on electroencephalography (EEG) of the user
Data Source
AI summary
Systems and methods are provided for rendering of a dual eye-specific display. The system tracks the user's eye movements and/or positions, in some implementations, based on electroencephalography (EEG) of the user, to correctly label the central (foveal) and peripheral (extra-foveal) areas of the display. Foveal data is fully rendered while extra-foveal data is reduced in resolution and, in some implementations, shared between the two displays.