VR Eye Tracking for Adaptive Ocular Health Assessment
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Solution Overview
Problem
Traditional visual assessment methods are limited to professional settings and do not allow for dynamic adjustment of test parameters, making them less accurate and inaccessible for at-home use with household devices.
Innovation Solution
Implementing a virtual reality (VR) user interface on a head-mounted display (HMD) with a camera for real-time eye tracking and analysis, enabling customizable vision tests that assess eye health and vision performance in a dynamic and interactive environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional visual assessment methods are used in clinical settings with specialized equipment, then measurement precision is improved, but device complexity and accessibility worsen
Solution Approach 1:
The patent creates a virtual copy of the clinical vision testing environment using VR technology. The system replicates standardized vision tests (Snellen chart, Ishihara color blindness test, Amsler grid) in a virtual space, allowing accurate vision assessment without physical specialized equipment. The VR headset with display screen and camera captures and analyzes user responses, producing clinical-grade measurements accessible at home.
Solution Approach 2:
The patent replaces mechanical/optical vision testing equipment with a software-based VR system. Instead of using physical charts, lights, and specialized devices, the system uses a display screen to present visual stimuli and a camera to track eye movements and responses. The processing unit analyzes the captured data to determine vision metrics, substituting complex mechanical systems with computational methods.
2Ease of operation
If traditional fixed-parameter vision tests are administered, then ease of operation is improved, but adaptability and measurement precision worsen
Solution Approach 1:
The patent implements dynamic parameter adjustment in the VR vision testing system. The processing unit continuously monitors user responses and eye movement data, then adaptively modifies test parameters such as stimulus size, contrast, duration, and presentation timing. This allows the test to optimize itself in real-time based on individual user performance, maintaining ease of operation while achieving high adaptability and precision.
Solution Approach 2:
The system incorporates real-time feedback loops where the camera captures user eye movements and responses, the processing unit analyzes this data, and the results feed back to adjust subsequent test parameters. This closed-loop control enables the test to adapt dynamically while maintaining simple operation for the user, who simply views stimuli and responds naturally.
3Reliability
If traditional clinical supervision is required for vision tests, then reliability is improved, but ease of operation and accessibility worsen
Solution Approach 1:
The patent enables self-service vision testing where users independently complete comprehensive vision assessments at home without clinical supervision. The VR system guides users through standardized tests, automatically captures eye movement data via the camera, processes the information, and generates reliable vision reports. The system includes built-in calibration and validation procedures that ensure test reliability while maintaining complete user autonomy.
Solution Approach 2:
The patent replaces the mechanical system of clinical supervision with an automated digital system. The processing unit acts as a virtual examiner, guiding users through tests, analyzing responses, and determining vision metrics without human intervention. This substitution maintains reliability through standardized algorithms while enabling at-home testing, eliminating the need for physical clinic visits and professional supervision.
Data Source
AI summary
A virtual eye test can be conducted to assess ocular health by analyzing user interaction with multidimensional shapes in a virtual reality (VR) environment. The virtual eye test can be conducted using an electronic device with a head-mounted display (HMD) and a camera. The device can generate and render a VR user interface in a three-dimensional virtual environment. The device can simulate test scenarios with multidimensional shapes and continuously track eye movements in response to one or more visual stimuli. The device can then analyze the user's interaction with these shapes to assess ocular health based on the tracked eye movements.


