VR Night Blindness Testing With Variable Lighting Scenarios
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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 reality-based vision test using a head-mounted display and camera to generate a customizable 3D environment, track eye movements, and evaluate visual acuity and perception through dynamic real-world scenarios.
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 creates a virtual copy of the clinical vision testing environment using VR technology. The HMD displays a simulated clinic interior with vision test equipment, allowing users to perform vision tests at home without needing actual specialized medical equipment. This virtual copying enables the same assessment functionality to be accessed in both clinical and home settings.
Solution Approach 2:
The system combines multiple functions into a single integrated platform: the HMD serves as both the display device and the vision test interface, while the camera simultaneously captures eye images for analysis. This multi-functionality eliminates the need for separate specialized equipment and allows the same system to operate in both professional and home environments.
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 parameter adjustment through the VR environment, where lighting conditions, test stimulus characteristics, and environmental factors can be changed in real-time based on user performance and needs. The system can adapt the virtual clinic environment and test parameters dynamically, providing more accurate assessments by tailoring conditions to individual user requirements.
Solution Approach 2:
The system incorporates feedback mechanisms where the camera continuously monitors eye images and user responses, allowing the system to adjust test parameters in real-time based on performance data. This feedback loop enables dynamic modification of lighting, stimulus presentation, and test difficulty to optimize assessment accuracy for each user.
3Adaptability or versatility
If traditional visual assessment methods are used, then the testing can be performed with simple equipment, but the methods cannot simulate real-world lighting conditions and scenarios
Solution Approach 1:
The patent replaces physical lighting equipment and environmental controls with virtual lighting simulations in the VR environment. Instead of using actual adjustable physical lights and complex environmental setups, the system uses software-generated lighting conditions that can simulate various real-world scenarios including nighttime, indoor, and outdoor lighting, reducing hardware complexity while increasing environmental adaptability.
4Adaptability or versatility
If a VR-based vision test system is implemented, then dynamic parameter adjustment and real-world scenario simulation are enabled, but the device complexity increases with HMD and camera requirements
Solution Approach 1:
The HMD and camera system serves multiple functions simultaneously: the HMD provides both the virtual environment display and the vision test interface, while the camera captures both eye images for analysis and user feedback. This multi-functionality reduces the need for separate specialized devices, offsetting the complexity increase by consolidating multiple roles into single components.
Data Source
AI summary
A virtual eye test for assessing night blindness can be conducted in a virtual reality (VR) environment. The test utilizes an electronic device equipped with a head-mounted display (HMD) and a camera. The device generates a VR user interface corresponding to a three-dimensional virtual environment and renders it on the HMD. A plurality of visual scenarios, each corresponding to a different lighting condition, are simulated within the VR interface. Using the camera, the device tracks user interactions and responses to visual stimuli presented in these various lighting scenarios. Night blindness is measured based on the tracked user interactions and responses, providing a comprehensive assessment of visual performance under different low-light conditions in a controlled, immersive environment.