VR Vision Screening With Adaptive Gamified Ocular Testing
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Solution Overview
Problem
Existing VR technology lacks effective methods for diagnosing and treating ocular conditions, such as eye misalignment, macular degeneration, and visual processing disorders, relying on invasive procedures and prolonged testing.
Innovation Solution
Implementing VR systems with eye-tracking sensors, real-time rendering, and machine learning algorithms to simulate visual anomalies, adapt tests based on patient responses, and integrate AI-driven diagnostics for precise ocular health assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional invasive procedures and prolonged testing are used for diagnosing ocular conditions, then diagnostic accuracy can be achieved, but patient comfort deteriorates and testing time increases
Solution Approach 1:
The patent replaces traditional mechanical and chemical diagnostic procedures with a virtual reality-based optical system. The VR system uses eye-tracking technology and visual stimuli presentation to assess ocular function without physical contact or invasive procedures, thereby maintaining diagnostic accuracy while eliminating the time-consuming nature of traditional methods
Solution Approach 2:
The VR diagnostic system dynamically adapts visual stimuli and tracking parameters in real-time based on patient responses. The system adjusts visual field tests, acuity assessments, and eye movement tracking dynamically, allowing comprehensive evaluation in shorter time frames compared to static traditional protocols
2Measurement precision
If traditional diagnostic procedures are used for ocular conditions, then comprehensive assessment can be achieved, but patient engagement deteriorates
Solution Approach 1:
The patent introduces a virtual reality environment as an intermediary between the patient and the diagnostic process. This immersive virtual world serves as a mediator that naturally engages patients while systematically collecting comprehensive ocular data through integrated eye-tracking and visual stimulus response measurement
Solution Approach 2:
The VR system enables patients to actively participate in their own assessment through natural interactions within the virtual environment. Patients engage in visually stimulating activities that simultaneously serve as diagnostic tests, transforming passive examination into active self-assessment without requiring patient compliance with traditional testing protocols
3Measurement precision
If VR technology is used to simulate visual disturbances for diagnosis, then diagnostic accuracy improves, but device complexity increases
Solution Approach 1:
The VR system integrates multiple diagnostic functions into a single unified platform. The same hardware platform delivers visual field testing, acuity assessment, eye movement tracking, and simulation of various visual pathologies, eliminating the need for multiple separate diagnostic devices and reducing overall system complexity
Solution Approach 2:
The system uses virtual reality to create accurate digital copies and simulations of various ocular pathologies and visual processing conditions. These virtual representations allow precise measurement of patient responses without requiring physical models or complex experimental setups, simplifying the diagnostic apparatus while maintaining measurement precision
Data Source
AI summary
A patient's visual health can be evaluated via virtual reality (VR) system in electronic communication with a computing device. Through VR, visual health evaluations can be made engaging, which is valuable for patients, such as children, who have trouble paying attention. The computing device can cause a first visual test to be displayed on the VR system. The VR system can collect the patient's responses to the first visual test, and the computing device can analyze the patient's responses to develop a second visual test to be displayed on the VR system. This procedure may continue until the computing device has completed a comprehensive visual health evaluation. Optionally, the computing device can cause the VR system to deliver corrective feedback to the patient. The computing device can diagnose the patient with one or more ocular conditions and recommend treatment.