Adaptive VR Eye Screening With Eye-Tracking Diagnostics
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Solution Overview
Problem
Existing eye care technologies lack effective, non-invasive methods for diagnosing and managing ocular conditions such as misalignment, macular degeneration, and visual processing disorders, relying heavily on invasive procedures and prolonged testing.
Innovation Solution
Utilizing VR technology with eye-tracking sensors and machine learning algorithms to simulate visual disturbances, perform symptom-specific tests, and provide adaptive diagnostic tools for ocular conditions, enhancing diagnostic accuracy and personalization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional invasive procedures and prolonged testing are used for diagnosing ocular conditions, then diagnostic reliability may be improved, but patient comfort deteriorates and testing duration increases
Solution Approach 1:
The patent replaces traditional mechanical and invasive diagnostic procedures with a virtual reality-based optical system. The VR system uses eye-tracking technology and visual simulations to diagnose ocular conditions without physical contact or invasive tools, thereby maintaining diagnostic reliability while significantly improving patient comfort and experience.
2Measurement precision
If traditional prolonged testing procedures are used for eye disease screening, then measurement precision may be improved, but loss of time increases
Solution Approach 1:
The patent implements dynamic adaptive testing where the VR system continuously monitors patient responses and eye movements in real-time. The system dynamically adjusts the testing protocol, presenting visual stimuli and adapting based on immediate feedback, which allows for rapid accumulation of diagnostic data without requiring prolonged static testing procedures.
Solution Approach 2:
The VR-based diagnostic system enables continuous data collection throughout the immersive experience. As patients interact with the virtual environment, the system continuously tracks eye movements, measures visual responses, and gathers diagnostic information without interruption, replacing traditional discrete testing steps with a continuous assessment process that reduces overall testing time.
3Ease of operation
If static visual tests are used for eye disease screening, then ease of operation is improved, but adaptability deteriorates
Solution Approach 1:
The patent transforms static visual tests into dynamic adaptive assessments within the VR environment. The system automatically adjusts visual stimuli parameters, test difficulty, and presentation sequences based on real-time analysis of patient eye movements and responses, enabling the same system to adapt to various ocular conditions and patient needs while maintaining ease of operation through automated control.
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
Offers a non-invasive, precise, and personalized approach for diagnosing and managing ocular conditions, reducing the need for invasive procedures and improving diagnostic accuracy through real-time adaptive simulations and AI-driven analysis.
Implementation Method 1
Eye-tracking technology allows systems to detect and respond to where the user is looking
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 phenomenon to be displayed on the VR system. The VR system can collect the patient's responses to the first phenomenon, and the computing device can analyze the patient's responses to develop a second phenomenon to be displayed on the VR system. This procedure may continue until the computing device has evaluated the patient for all relevant ocular conditions and their corresponding ocular sub-conditions. 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 sub-conditions and recommend treatment.


