VR Color Sensitivity Testing With Eye-Tracking Adaptation
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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 (VR) system using a head-mounted display (HMD) and eye-tracking sensors to create a customizable 3D environment for vision testing, simulating various lighting and color conditions, and tracking user responses to evaluate light sensitivity, color perception, and eyewear needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional visual assessment methods are used in professional settings, then measurement reliability is maintained, but accessibility and ease of operation deteriorate due to limited availability and specialized equipment requirements
Solution Approach 1:
The patent creates a virtual replica of clinical vision testing equipment and procedures through software simulation. The system copies the functionality of specialized ophthalmic devices by rendering virtual visual stimuli and tracking eye movements through standard webcam and screen recording, making professional-grade vision assessment accessible through common household devices while maintaining measurement reliability through validated algorithms
Solution Approach 2:
The patent enables a single computing device with standard camera and screen to perform multiple vision assessment functions that traditionally required specialized equipment. The system can conduct various types of vision tests (acuity, color perception, visual field) using one universal platform, eliminating the need for dedicated clinical devices and expanding accessibility to home environments
2Measurement precision
If fixed test parameters are used in traditional methods, then device complexity is reduced, but measurement precision deteriorates due to inability to adapt to individual user needs
Solution Approach 1:
The patent implements dynamic test parameters that automatically adapt during the assessment based on real-time eye tracking data and user responses. The system adjusts stimulus presentation timing, position, and characteristics dynamically to optimize measurement precision for each individual user, transforming static clinical protocols into adaptive digital assessments that improve accuracy without requiring complex manual adjustment mechanisms
Solution Approach 2:
The patent systematically varies multiple test parameters (stimulus duration, inter-stimulus interval, presentation position, size) to optimize measurement precision for different user conditions. The software automatically modifies these parameters based on detected eye movement patterns and response quality, enabling high-precision measurements across diverse populations without increasing device complexity through hardware adjustments
3Adaptability or versatility
If static visual stimuli are presented in traditional methods, then ease of operation is improved, but adaptability deteriorates due to inability to simulate various lighting and viewing conditions
Solution Approach 1:
The patent adds temporal and environmental dimensions to static visual stimuli by presenting them through video sequences that simulate dynamic lighting conditions, motion, and changing viewing scenarios. The system renders virtual environments with varying illumination levels, colors, and movements, enabling assessment of visual function under diverse conditions while maintaining ease of operation through automated software-controlled stimulus presentation
Data Source
AI summary
A virtual reality (VR) system can be implemented for evaluating color wavelength sensitivity. The system can use an electronic device featuring a head-mounted display (HMD) and eye-tracking sensors. The system can generate a VR user interface that creates a three-dimensional virtual environment, rendered on the HMD. Within this virtual space, the system can simulate a variety of color wavelength tasks. As users engage with these tasks, the eye-tracking sensors can continuously monitor responses to the simulated tasks. The system can then analyze the tracked data for color wavelength sensitivity performance.