Dynamic Vision Correction for Wearable Displays
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Solution Overview
Problem
Current wearable technologies, such as smart glasses, fail to adequately address higher order and dynamic visual aberrations that are not correctable by traditional glasses or contact lenses, particularly those that change with eye accommodation and direction of gaze.
Innovation Solution
A system and method for determining and modifying vision defects using eye-related characteristics, involving the presentation of stimuli to monitor deviations, generating modification profiles, and applying these profiles to correct or enhance vision through wearable devices, incorporating machine learning models and dynamic display adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional glasses or contact lenses are used, then simple refractive errors can be corrected, but higher order and dynamic visual aberrations cannot be addressed
Solution Approach 1:
The patent implements dynamic aberration correction by continuously monitoring eye characteristics (pupil size, gaze direction, accommodation state) and adjusting correction parameters in real-time. The modification profile is updated based on current eye state, enabling the system to adapt to changing visual conditions and correct dynamic aberrations that static lenses cannot address.
Solution Approach 2:
The system changes optical correction parameters dynamically based on measured eye characteristics. By varying correction parameters according to pupil size, gaze direction, and accommodation state, the system can address higher order aberrations and dynamic visual defects that require continuous parameter adjustment rather than fixed correction.
2Measurement precision
If wearable devices present stimuli to both eyes simultaneously, then binocular vision can be assessed, but double vision and binocular vision defects cannot be properly determined
Solution Approach 1:
The patent segments the vision assessment process into monocular and binocular phases. Stimuli are presented to one eye at a time during monocular assessment, then both eyes are assessed together during binocular assessment. This segmentation allows for precise measurement of each eye's contribution to vision defects while simplifying the overall determination process.
Solution Approach 2:
The system uses feedback from eye movement monitoring and stimulus response detection to determine deviation measurements. By tracking eye characteristics in response to presented stimuli and comparing expected versus actual responses, the system can precisely determine binocular vision defects and double vision conditions.
3Manufacturing precision
If modification parameters are applied to correct vision defects, then visual clarity can be improved, but the system cannot adapt to changing eye characteristics and gaze directions
Solution Approach 1:
The correction system is designed to be dynamic rather than static. Modification parameters are continuously updated based on real-time monitoring of eye characteristics including pupil size, gaze direction, and accommodation state. This allows the system to maintain visual correction precision across varying eye conditions and dynamic viewing scenarios.
Solution Approach 2:
The system performs self-adjustment by automatically monitoring its own performance and the user's eye characteristics. Based on detected deviations and measured eye state, the system autonomously updates modification parameters without requiring manual intervention, enabling continuous adaptation to changing conditions while maintaining correction precision.
Data Source
AI summary
In certain embodiments, double-vision-related vision defects determinations or modifications may be facilitated. In some embodiments, a stimulus may be to be presented at a first time at a position on a first display for a deviating eye of a user (e.g., without a stimulus being presented on a second display of for a reference eye of the user) to cause the deviating eye to fixate on the position on the first display. A deviation measurement for the deviating eye may be determined based on an amount of movement of the deviating eye occurring upon the presentation on the first display for the deviating eye at the first time. In some embodiments, a modification profile associated with the user may be determined based on the deviation measurement, where the modification profile includes one or more modification parameters to be applied to modify an image for the user.