VR Eye-Tracking Tasks for Faster Eye Misalignment Detection
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Solution Overview
Problem
Current 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 disturbances, conduct symptom-specific tests, and provide adaptive diagnostic and treatment protocols, leveraging AI for precise ocular condition detection and personalized treatment plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional diagnostic methods are used for ocular conditions, then diagnostic procedures can be performed with existing technology, but the procedures are invasive and time-consuming
Solution Approach 1:
The patent replaces traditional mechanical diagnostic equipment with a virtual reality system that uses software-based visual tasks and eye-tracking technology to diagnose ocular conditions. The VR system presents dynamic visual stimuli and tracks eye movements through software algorithms, eliminating the need for physical contact with diagnostic tools and reducing testing time while maintaining diagnostic accuracy.
Solution Approach 2:
The patent employs dynamic visual tasks within the VR environment that adapt in real-time based on patient response. The visual stimuli change dynamically, and the system adjusts testing parameters on-the-fly, allowing comprehensive assessment to be completed more quickly than static traditional methods while capturing natural eye movement patterns for accurate diagnosis.
2Reliability
If traditional eye examination methods are used, then diagnostic procedures can be conducted, but invasive procedures are required
Solution Approach 1:
The patent substitutes mechanical and physical diagnostic instruments with a software-based VR system that uses optical eye-tracking. The system relies on non-contact optical sensors to monitor eye movements and visual responses, completely eliminating the need for physical contact or invasive procedures while maintaining diagnostic reliability through sophisticated algorithmic analysis.
Solution Approach 2:
The patent introduces a virtual reality environment as an intermediary between the diagnostic system and the patient's eyes. This virtual medium allows indirect measurement of ocular function through visual task performance and eye-tracking data, avoiding direct physical intervention while providing reliable diagnostic information about ocular alignment and function.
3Measurement precision
If comprehensive ocular testing is performed, then accurate diagnosis can be achieved, but the testing process becomes complex and prolonged
Solution Approach 1:
The patent merges multiple diagnostic functions into a single integrated VR system. The virtual environment simultaneously presents visual stimuli, tracks eye movements, records response times, and analyzes binocular coordination through unified software algorithms, consolidating what would traditionally require multiple separate testing procedures into one cohesive diagnostic session.
Solution Approach 2:
The patent creates a universal VR diagnostic platform that can assess multiple ocular conditions through a single system. The same VR environment and eye-tracking technology evaluate various aspects of ocular function including alignment, tracking, and binocular coordination, eliminating the need for multiple specialized devices or complex procedural variations.
4Measurement precision
If dynamic visual tasks are implemented in VR, then eye misalignment can be detected with high precision, but the system complexity increases
Solution Approach 1:
The patent implements self-calibrating algorithms within the VR system that automatically adjust to each patient's baseline eye movement patterns. The system performs self-adjustment and normalization of data without requiring manual calibration procedures or complex external equipment, achieving high detection precision through automated adaptive algorithms that simplify the overall system operation.
Data Source
AI summary
A patient's visual health can be evaluated via virtual reality (VR) system in electronic communication with a computing device. The computing device can cause a first visual task to be displayed on the VR system. The VR system can collect the patient's responses to the first visual task, and the computing device can analyze the patient's responses to develop a second visual task to be displayed on the VR system. This procedure may continue until the computing device has completed a comprehensive evaluation of the patient's eye coordination and eye misalignment. 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.