VR Vision Correction Simulation for Adaptive Home Eye Exams
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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, 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 existing 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 simulated 3D space, allowing accurate vision assessment without complex physical apparatus. The HMD displays virtual optotypes and visual stimuli that replicate traditional testing scenarios with enhanced precision.
Solution Approach 2:
The system dynamically adjusts multiple parameters including visual pattern size, contrast, brightness, and presentation duration based on user responses. The virtual environment allows continuous modification of testing parameters without physical reconfiguration, enabling adaptive vision testing that optimizes measurement precision while maintaining operational simplicity.
2Adaptability or versatility
If traditional static vision tests are used, then the testing procedure is straightforward, but the adaptability to individual user needs and dynamic adjustment of test parameters are limited
Solution Approach 1:
The vision testing system transitions from static to dynamic operation through real-time parameter adjustment based on user responses. The HMD displays visual patterns that change in size, contrast, and position according to the user's visual acuity level. The system adapts the testing procedure dynamically, modifying subsequent stimuli based on previous responses, thereby enhancing versatility while maintaining ease of operation through automated control.
Solution Approach 2:
The system implements continuous feedback loops where user responses to visual patterns are immediately processed and used to adjust subsequent test parameters. The HMD monitors user selections and automatically modifies the difficulty level, pattern characteristics, and presentation conditions, enabling highly adaptable testing that responds to individual user performance without requiring manual intervention.
3Measurement precision
If comprehensive vision assessment is performed with multiple parameters, then the prescription accuracy is improved, but the testing time and complexity increase
Solution Approach 1:
The virtual reality vision testing system performs multiple assessment functions continuously without requiring separate testing sessions. The HMD simultaneously evaluates visual acuity, contrast sensitivity, and other parameters through an integrated sequence of virtual visual patterns. This continuous multi-parameter assessment achieves comprehensive prescription accuracy while reducing total testing time compared to traditional sequential methods.
Solution Approach 2:
The system combines multiple vision assessment functions into a single integrated testing protocol delivered through the HMD. Various visual stimuli and measurement tasks are merged into one continuous virtual environment session, allowing simultaneous collection of multiple vision parameters. This consolidation maintains high prescription accuracy while minimizing testing duration by eliminating transitions between separate testing procedures.
Data Source
AI summary
An eye exam can be performed using an electronic device in a virtual environment to determine vision corrective measures based on vision correction simulation. The electronic device can execute a visual assessment application for displaying a user interface to create a 3D virtual environment corresponding to a field of view of a user associated with the electronic device. The electronic device can render a visual pattern in the field of view and apply a vision correction filter to the visual pattern. The electronic device can obtain a set of user response data captured by a plurality of sensors in response to the visual pattern and determine whether the set of user response data satisfy a response quality criterion. Filter parameters of the vision correction filter can be dynamically adjusted based on the set of user response data until the set of user response data satisfy the response quality criterion.