VR Eye Convergence Assessment With Dynamic Stimulus Adjustment
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Solution Overview
Problem
Traditional vision testing methods lack dynamic adjustment of test parameters and cannot be implemented for home use with household devices, leading to less accurate assessments.
Innovation Solution
Implementing methods and systems using a head-mounted display (HMD) with processors and memory to execute visual assessment applications, obtaining eye images, determining gaze positions, and applying models to generate performance factors, enabling dynamic vision testing in extended reality environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional vision testing methods are used, then device simplicity is maintained, but measurement precision and adaptability deteriorate
Solution Approach 1:
The patent applies universality by using a head-mounted display device that can perform multiple functions: displaying visual stimuli, tracking eye movements via integrated cameras, and processing vision assessment data. This multi-functional approach improves measurement precision without requiring separate specialized devices for each function, thereby managing system complexity through integration rather than multiplication of components.
Solution Approach 2:
The patent replaces traditional mechanical vision testing equipment with a computational system using head-mounted displays, cameras, and processors. The mechanical optometry equipment is substituted with digital visual stimuli display, computer vision-based eye tracking, and algorithmic convergence assessment, improving precision through dynamic parameter adjustment while reducing physical device complexity.
2Adaptability or versatility
If traditional vision testing methods are used, then ease of operation is maintained, but adaptability deteriorates
Solution Approach 1:
The patent applies dynamics by enabling real-time adjustment of visual stimulus parameters such as convergence angle, stimulus position, and presentation timing based on measured eye movement data. The testing protocol dynamically adapts to the user's visual responses, improving adaptability while the automated control system manages operational complexity by removing the need for manual parameter adjustment by the operator.
Solution Approach 2:
The patent implements feedback mechanisms where eye tracking data from cameras is continuously processed to inform adjustments in subsequent visual stimulus presentation. This closed-loop feedback system enables dynamic parameter adaptation based on real-time measurement of convergence behavior, improving versatility while the automated feedback control simplifies operation by eliminating manual intervention.
3Measurement precision
If traditional vision testing methods are used, then device accessibility is maintained, but measurement precision deteriorates
Solution Approach 1:
The patent applies merging by combining multiple functions into a single head-mounted display system: visual stimulus display, eye movement capture via cameras, and convergence measurement. This integration improves measurement precision by coordinating all functions in a unified system while managing complexity through consolidation rather than separate devices working together.
Solution Approach 2:
The patent uses camera-based eye tracking to create optical copies/images of the user's eyes, allowing non-contact, precise measurement of convergence behavior. This copying approach improves measurement precision by enabling detailed analysis of eye position and movement without physical contact, while the software-based processing manages complexity by replacing complex mechanical measurement apparatus.
Data Source
AI summary
A user's eye convergence condition can be assessed in a virtual environment. An electronic device, such as a head-mounted display, can execute a visual assessment application, including displaying a user interface to create a 3D virtual environment, and can display a sequence of visual stimuli on the user interface. The sequence of visual stimuli can correspond to a plurality of stimulus positions distributed in the 3D virtual environment. The electronic device can obtain a sequence of eye images of two eyes of a user associated with the electronic device and determine a sequence of eye focal positions of the eyes in the sequence of eye images. A convergence performance indicator can be determined for the two eyes of the user based on at least the sequence of eye focal positions.