VR Binocular Vision Testing With Adaptive Eye-Tracking Feedback
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Solution Overview
Problem
Traditional visual assessment methods are limited to professional settings and do not allow for dynamic adjustment of test parameters, making them less accurate and inaccessible for home use with household devices.
Innovation Solution
Implementing a virtual vision test using a head-mounted display (HMD) and camera, which generates a three-dimensional virtual environment for dynamic testing, including methods for assessing eye health, peripheral vision, visual field loss, ocular health, and binocular vision, through real-time tracking of eye movements and responses to visual stimuli.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional visual assessment methods are used in clinical settings with specialized equipment, then measurement precision is improved, but device complexity and ease of operation worsen due to requiring trained healthcare providers and dedicated equipment
Solution Approach 1:
The patent uses a camera to capture images of the eye and displays a virtual reality interface that copies the functionality of clinical vision testing equipment. The system captures real eye images and overlays virtual visual stimuli, creating a simplified version of complex clinical equipment that can be used with household devices while maintaining measurement precision through image processing algorithms.
2Measurement precision
If traditional visual assessment methods are used with fixed parameters, then ease of operation is improved, but measurement precision worsens due to inability to dynamically adjust test parameters
Solution Approach 1:
The system dynamically adjusts visual stimulus parameters such as size, position, and timing based on real-time eye movement data captured by the camera. The virtual reality interface allows test parameters to change adaptively during the assessment, improving measurement precision while the automated nature maintains ease of operation without requiring trained providers.
Solution Approach 2:
The system uses feedback from captured eye images to adjust subsequent visual stimuli. By analyzing eye position and movement from captured images, the system adapts the presentation of visual stimuli to optimize testing accuracy, creating a closed-loop system that improves precision while remaining simple to operate.
3Reliability
If traditional visual assessment methods are implemented in professional settings, then reliability is improved through supervised testing, but ease of operation and accessibility worsen due to limitation to clinical environments
Solution Approach 1:
The system enables self-administered vision testing by capturing eye images and processing visual stimulus responses automatically without requiring a healthcare provider. The camera captures eye images and the system automatically presents visual stimuli and analyzes responses, allowing users to perform reliable vision assessments at home while maintaining consistency through automated processing algorithms.
4Adaptability or versatility
If virtual reality environments are used for vision testing, then adaptability and versatility are improved by enabling dynamic parameter adjustment and home use, but device complexity worsens due to requiring HMD and camera integration
Solution Approach 1:
The system uses a camera, which is a common component in many household devices, to capture eye images for vision testing. By making the camera serve multiple functions (both capturing eye images and providing the visual display interface through the HMD), the system reduces overall device complexity while maintaining adaptability and versatility for different vision test types.
Data Source
AI summary
A virtual eye test can be performed to assess binocular vision in photorealistic virtual reality (VR) environments. The test can be conducted using an electronic device with a head-mounted display (HMD) and a camera. The device can generate and render a VR user interface in a photorealistic virtual environment. The device can simulate real-world scenarios and continuously track gaze direction, convergence, and divergence in response to one or more visual stimuli. The system can then assess depth perception, stereopsis, and eye coordination for binocular vision based on these measurements.