VR Floater Identification Under Simulated Lighting Conditions
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Solution Overview
Problem
Current VR technology lacks comprehensive methods for diagnosing and monitoring ocular conditions such as eye misalignment, macular degeneration, tear film characteristics, floater characteristics, and retinal disorders, which are essential for early detection and intervention.
Innovation Solution
Implementing VR systems equipped with high-resolution headsets, advanced eye-tracking sensors, and specialized software algorithms to conduct detailed visual tests and analyze ocular movements, tear film dynamics, and retinal health, providing real-time diagnostic feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If VR systems are equipped with advanced eye-tracking sensors and specialized software algorithms to conduct detailed visual tests, then measurement precision and diagnostic accuracy are improved, but device complexity increases
Solution Approach 1:
The VR system integrates multiple diagnostic functions (eye alignment testing, macular degeneration detection, floater characterization, tear film analysis) into a single unified platform, allowing one complex system to serve multiple ocular diagnostic purposes simultaneously
Solution Approach 2:
The patent introduces specialized software algorithms as intermediaries that process raw eye-tracking data and transform it into clinically meaningful diagnostic information, bridging the gap between sensor measurements and medical conclusions
2Measurement precision
If VR technology is used to simulate various lighting conditions for identifying floaters, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically controls lighting conditions and analyzes floater characteristics without requiring manual adjustment by the patient, making the complex diagnostic process transparent and easy for users to operate
Solution Approach 2:
The VR system dynamically adjusts lighting conditions during the examination to optimize floater visibility and characterization, adapting the environment in real-time based on diagnostic needs
3Reliability
If comprehensive visual tests are conducted to detect multiple ocular conditions, then reliability of diagnosis is improved, but loss of time increases
Solution Approach 1:
The patent combines multiple diagnostic tests for different ocular conditions (eye alignment, macular health, floater detection, tear film quality) into a single integrated VR examination session, allowing comprehensive assessment without requiring separate appointments
Solution Approach 2:
The eye-tracking sensors continuously monitor ocular parameters throughout the VR experience, collecting diagnostic data continuously rather than through discrete manual measurements, improving efficiency and comprehensiveness
Data Source
AI summary
A patient's visual health can be evaluated via a virtual reality (VR) system, which can include a VR headset in electronic communication with a computing device. The computing device can cause different virtual environments with adjustable lighting conditions to be displayed on the screens of the VR headset. The patient can be prompted to describe floaters in virtual environments with different lighting conditions. Using varying combinations of sensors, cameras, probes, and microphones, the VR headset can collect data about the patient as she describes and reacts to the virtual environments and the floaters. Optionally, the computing device can analyze this data to identify the severity of the patient's floaters and evaluate the patient for ocular disorders.