Immersive XR Vision Testing With Adaptive Optotype Rendering
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Solution Overview
Problem
Traditional methods for visual acuity assessment in extended reality environments are limited by static test parameters, pixel density limitations of VR displays, and inability to test high levels of acuity due to PPD constraints, leading to inaccurate assessments and a lack of dynamic adjustment capabilities.
Innovation Solution
A VR system using an adaptive algorithm to display optotypes based on real-time user interaction, overcoming pixel density limitations through algorithmic enhancement, dynamic parameter adjustment, and user response analysis to enhance clarity and accuracy of visual acuity testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional static test parameters are used for visual acuity assessment, then the test is simple to implement, but the assessment accuracy is reduced and dynamic adjustment is not possible
Solution Approach 1:
The patent implements dynamic adjustment of test parameters including optotype size, spacing, and presentation timing based on real-time user responses. The system transitions from static to dynamic testing by continuously adapting parameters to maintain optimal difficulty levels and improve measurement precision through iterative adjustments.
Solution Approach 2:
The system incorporates feedback mechanisms where user responses are analyzed in real-time to adjust subsequent test parameters. The algorithm modifies optotype characteristics based on performance data, creating a closed-loop system that improves assessment accuracy by continuously optimizing the test based on individual user performance.
2Measurement precision
If VR displays are used for visual acuity testing, then the environment can be locked down and controlled, but pixel density limitations compromise optotype clarity
Solution Approach 1:
The patent applies parameter changes by algorithmically adjusting optotype characteristics such as size, contrast, and spacing to compensate for VR display pixel density limitations. The system modifies these parameters dynamically to ensure optotypes maintain sufficient clarity and distinguishability despite the inherent resolution constraints of VR headsets.
Solution Approach 2:
Instead of relying solely on the physical pixel density of the display hardware, the system substitutes computational algorithms that process and enhance optotype rendering. This replaces the mechanical limitation of fixed pixel density with software-based enhancement techniques that adapt to the specific display characteristics.
3Measurement precision
If existing acuity assessment methods are used in XR space, then implementation is straightforward, but high levels of acuity cannot be tested due to PPD limitations
Solution Approach 1:
The patent addresses the PPD limitation by transitioning from a two-dimensional display constraint to a three-dimensional immersive environment. By utilizing the depth and spatial positioning capabilities of VR, the system can present optotypes at various virtual distances and sizes, enabling high acuity testing beyond what traditional 2D displays with fixed PPD can achieve.
Solution Approach 2:
The system dynamically adjusts optotype size and spacing based on the user's visual acuity level and response patterns. This dynamic scaling allows the system to test high acuity levels by progressively reducing optotype size and increasing spacing requirements, adapting the test difficulty to match the user's actual visual capability.
4Measurement precision
If algorithmic enhancement is applied to overcome pixel density limitations, then optotype clarity is improved, but processing time and computational complexity increase
Solution Approach 1:
The system performs preliminary calculations and pre-processes optotype images before display to minimize real-time processing requirements. By preparing enhancement parameters and pre-calculating optimization settings in advance, the system reduces the computational burden during actual optotype presentation, thereby minimizing processing time while maintaining clarity.
Solution Approach 2:
The patent optimizes processing time by dynamically adjusting the intensity and complexity of enhancement parameters based on display characteristics and user needs. The system changes processing parameters such as sharpening strength, contrast adjustment, and edge enhancement levels to achieve sufficient clarity with minimal computational overhead, balancing quality and efficiency.
Data Source
AI summary
The present disclosure relates to methods and systems for implementing vision testing in an extended reality (XR) environment. In some implementations, an XR system includes one or more of: means for displaying optotypes overcoming pixel density limitations of VR displays through algorithmic enhancement; a calibration system for aligning a user's foveal vision with the VR display's central axis using eye-tracking technology; voice control functionality enabling users to navigate and respond within the VR vision testing protocol through spoken commands; a virtual representation of an optometrist placed within the VR environment for guiding the user through the vision test; or a continuous search method implemented for determining visual acuity with precision beyond standard categorization.