VR Vision Testing Under Dynamic Lighting With Eye-Tracking
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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 and camera to create a customizable extended reality environment for dynamic lighting scenarios, tracking eye movements and pupil responses to evaluate eye health conditions, including night vision, glare sensitivity, and subtle visual changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional visual assessment methods are used, then the testing can be conducted in controlled clinical settings with standardized procedures, but the methods are limited to professional settings and cannot be implemented at home with household devices
Solution Approach 1:
The patent uses virtual reality to create a digital copy of the clinical testing environment that can be replicated on household devices. The VR system simulates the controlled clinical setting with standardized procedures, allowing users to perform vision assessments at home using everyday electronics rather than specialized medical equipment.
Solution Approach 2:
The patent replaces physical mechanical testing equipment with a software-based virtual reality system. Instead of requiring actual clinical devices, the system uses computational models and virtual environments to conduct vision assessments, substituting physical infrastructure with digital alternatives that can run on consumer electronics.
2Measurement precision
If traditional visual assessment methods are used, then the testing procedures are standardized and reliable, but the parameters cannot be dynamically adjusted leading to less accurate assessments
Solution Approach 1:
The patent implements dynamic adjustment of test parameters within the virtual reality environment. The system can adaptively modify lighting conditions, stimulus characteristics, and testing protocols in real-time based on user performance and responses, enabling precise measurements while maintaining flexibility and accuracy.
Solution Approach 2:
The patent incorporates feedback mechanisms that continuously monitor user responses and adjust test parameters accordingly. The system analyzes user performance data and dynamically modifies subsequent testing conditions to optimize measurement precision, creating an adaptive assessment protocol that improves accuracy through iterative refinement.
3Adaptability or versatility
If traditional visual assessment methods are used, then the testing can be performed with fixed parameters reflecting controlled settings, but the methods cannot evaluate eyes and vision in dynamic lighting conditions
Solution Approach 1:
The patent creates virtual copies of dynamic lighting conditions within the VR environment. Instead of requiring physical lighting simulation equipment, the system generates digitally rendered lighting scenarios that replicate various environmental conditions, allowing evaluation of vision under diverse lighting situations using computational graphics rather than complex physical apparatus.
Solution Approach 2:
The patent dynamically changes lighting parameters within the virtual reality simulation. The system can modify illumination intensity, color temperature, direction, and temporal characteristics of virtual light sources to create diverse lighting conditions, enabling comprehensive vision assessment without requiring complex physical lighting infrastructure.
Data Source
AI summary
A virtual vision test can be performed to evaluate response time in detecting subtle visual changes under varying light conditions in a virtual reality (VR) environment. 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, simulating dynamic lighting scenarios. The device can continuously track eye movements in response to visual stimuli presented in these scenarios. The system can then evaluate the detection of subtle visual changes based on the tracked eye movements, and provide a comprehensive assessment of visual acuity and responsiveness under different lighting conditions.


