Sightline-Based Eyewear Prescription in a 3D Virtual Eye Exam
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Solution Overview
Problem
Traditional vision testing methods lack dynamic adjustment of test parameters and cannot be implemented for home use with household devices, leading to less accurate assessments.
Innovation Solution
Implementing a method using a head-mounted display (HMD) with processors and memory to execute a visual assessment application, partitioning the field of view into regions, rendering visual patterns, adjusting vision correction filters based on user responses, and combining filters to determine eyewear prescriptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional vision testing methods are used, then the testing process is simple and can be performed with basic equipment, but the measurement precision and accuracy of vision assessment are insufficient
Solution Approach 1:
The patent uses virtual reality to create a virtual copy of the vision testing environment, replacing physical testing equipment with digital representations. Visual patterns are rendered as virtual objects in a 3D environment, allowing complex optical testing to be performed through software-based simulations rather than physical apparatus
Solution Approach 2:
The system dynamically adjusts multiple test parameters including visual pattern size, contrast, brightness, and positional coordinates based on user responses. The vision correction filter parameters are continuously modified during testing to optimize measurement accuracy while adapting to individual user needs
2Adaptability or versatility
If traditional static vision tests are used, then the testing procedure is straightforward, but the adaptability to dynamic adjustment of test parameters is limited
Solution Approach 1:
The vision testing system transitions from static to dynamic operation by continuously adjusting visual pattern characteristics and filter parameters based on real-time user responses. The system adapts test difficulty, pattern position, and optical correction levels dynamically during the testing process rather than following a fixed protocol
Solution Approach 2:
The system implements closed-loop feedback by monitoring user responses to visual patterns and using this information to adjust subsequent test parameters. User performance data feeds back into the algorithm to modify visual stimulus characteristics and refine vision correction filter settings for optimized assessment
3Measurement precision
If comprehensive vision assessment is performed, then the prescription accuracy is improved, but the testing time and complexity increase
Solution Approach 1:
The system performs comprehensive vision assessment by evaluating multiple visual parameters and patterns, but uses adaptive algorithms to terminate testing early when sufficient data is collected. The system applies partial testing protocols that adjust the number and type of visual patterns presented based on initial assessment results, avoiding unnecessary extended testing
Data Source
AI summary
An eye exam can be performed using an electronic device in a virtual environment to determine corrective measures of an eyewear based on sightlines. The electronic device can execute a visual assessment application and display a user interface to create a 3D virtual environment. The electronic device can identify a plurality of horizontal lines of sight. For each horizontal line of sight, the electronic device can render a respective visual stimulus on the respective horizontal line of sight, obtain a user response to the respective visual stimulus, and dynamically adjust stimulus parameters of the respective visual stimulus based on the user response. Based on the stimulus parameters associated with each horizontal line of sight, an eyewear prescription of an eyewear can be determined for a user associated with the electronic device. The eyewear prescription can include prescription parameters corresponding to the plurality of horizontal lines of sight.