VR Color Perception Testing With Eye Tracking and Adaptive Stimuli
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Solution Overview
Problem
Traditional visual assessment methods are limited to professional settings and lack dynamic adjustment of test parameters, making them less accurate and inaccessible for home use with household devices.
Innovation Solution
Implementing a virtual reality system using a head-mounted display and eye-tracking sensors to create a customizable extended reality environment for vision testing, simulating various conditions and tracking user responses to evaluate eye health and recommend personalized eyewear.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional visual assessment methods are used in professional settings with specialized equipment, then measurement precision is maintained, but device complexity and accessibility are worsened
Solution Approach 1:
The patent creates a virtual copy of the clinical vision testing environment using VR technology. The system replicates standardized vision test protocols and visual stimuli within a virtual reality framework, allowing accurate vision assessment to be performed using consumer-grade HMD devices instead of specialized clinical equipment.
Solution Approach 2:
The vision assessment system is designed to function across multiple platforms and settings. The same VR-based assessment protocol can be deployed in clinical environments, home settings, and telehealth applications, eliminating the need for location-specific specialized equipment while maintaining assessment consistency.
2Ease of operation
If traditional visual assessment methods are used with fixed parameters, then ease of operation is maintained, but adaptability and measurement precision are worsened
Solution Approach 1:
The VR vision assessment system incorporates dynamic parameter adjustment capabilities that allow test conditions to be modified in real-time based on user performance and specific assessment needs. The system can adapt stimulus presentation, timing, and visual parameters while maintaining procedural simplicity through automated control.
Solution Approach 2:
The system implements real-time feedback mechanisms where user responses to visual stimuli are immediately processed, and test parameters are dynamically adjusted based on performance metrics. This creates an adaptive assessment protocol that maintains ease of operation while enhancing both adaptability and measurement precision.
3Reliability
If traditional visual assessment methods are used in clinical environments, then reliability is maintained, but ease of operation and accessibility are worsened
Solution Approach 1:
The VR vision assessment system is designed to be self-contained and self-calibrating, requiring minimal operator intervention. The system automatically guides users through assessment protocols, performs quality control checks, and generates reports, enabling reliable vision assessment to be conducted independently in home settings without requiring trained healthcare providers.
Solution Approach 2:
The system maintains assessment reliability by carefully controlling and standardizing critical test parameters while allowing flexibility in non-critical aspects. Virtual environmental controls ensure consistent lighting, display characteristics, and stimulus presentation conditions regardless of physical location, enabling reliable assessment in both clinical and home environments.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables comprehensive and interactive vision assessments in a controlled, immersive environment, uncovering nuanced aspects of color perception and light sensitivity, and recommending tailored eyewear solutions.
Implementation Method 1
displaying, on the user interface, a visual stimulus corresponding to the virtual vision test
Implementation Method 2
while displaying the visual stimulus, in real time, capturing a sequence of eye images using the camera of the electronic device
Data Source
AI summary
A virtual reality (VR) system can be implemented for evaluating color perception. The system can use an electronic device equipped with a head-mounted display (HMD) and eye-tracking sensors. The system can generate a VR user interface that creates a three-dimensional virtual environment, which is then rendered on the HMD. Within this immersive setting, the system can present a series of color-coded challenges and puzzles, systematically varying the luminosity and background conditions. As the user engages with these simulations, the eye-tracking sensors can continuously monitor their responses in real-time. The system can then analyze the data collected to assess the user's color perception performance.