Head-Mounted Device Infrared Eye Reflection Analysis
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Solution Overview
Problem
Current wearable technologies, such as smart glasses, fail to adequately address vision defects involving higher order or dynamic visual aberrations that cannot be corrected by traditional glasses or contact lenses, particularly those that change with eye accommodation and direction of gaze.
Innovation Solution
A head-mounted device with inward-facing displays and infrared diodes projects light onto the eye, using machine learning models to analyze reflection data and provide vision corrections or enhancements, including dynamic adjustments to display configurations based on user feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional glasses or contact lenses are used for vision correction, then simple refractive errors can be corrected, but higher order visual aberrations and dynamic aberrations cannot be addressed
Solution Approach 1:
The patent employs wavefront-guided adaptive optics that dynamically adjust correction parameters in real-time based on measured aberrations. The system uses variable focus lenses and programmable optical elements that can change their optical properties on-demand, allowing correction of both static and dynamic higher-order aberrations that traditional fixed-prescription lenses cannot address.
Solution Approach 2:
The system changes optical parameters such as wavefront shape, focal length, and lens curvature based on real-time measurements of the user's visual aberrations. By programmatically adjusting these parameters, the system adapts to higher-order aberrations and dynamic changes in the eye's optical properties, overcoming the limitations of traditional glasses and contact lenses.
2Adaptability or versatility
If head-mounted devices with infrared projection are used, then vision correction and enhancement can be provided, but device complexity increases
Solution Approach 1:
The head-mounted device integrates multiple functions into a single platform: infrared pattern projection for wavefront sensing, adaptive optical correction, and visual enhancement display. This multi-functional integration allows the system to perform both diagnostic wavefront analysis and therapeutic vision correction using shared hardware components, thereby managing complexity while providing comprehensive vision care.
Solution Approach 2:
The system uses an infrared pattern projector as an intermediary to measure wavefront aberrations by analyzing reflected patterns from the eye. This intermediary measurement approach enables precise characterization of higher-order aberrations without requiring direct contact with the eye, simplifying the overall system architecture compared to more invasive measurement techniques.
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
The system effectively determines and corrects visual aberrations, enhancing the user's field of view and vision quality by dynamically adjusting display settings in real-time, addressing limitations of traditional corrective methods.
Implementation Method 1
Light emitted from one or more infrared diodes may be projected onto an eye of the user via one or more inward-facing infrared devices of the head-mounted device. Reflection data related to a reflection of the infrared-diode-emitted light reflected from the eye may be obtained via the one or more inward-facing infrared devices of the head-mounted device.
Data Source
AI summary
In some embodiments, image content may be presented to a user of a head-mounted device via one or more inward-facing displays of the head-mounted device. Light emitted from one or more infrared diodes may be projected onto an eye of the user via one or more inward-facing infrared devices of the head-mounted device. Reflection data related to a reflection of the infrared-diode-emitted light reflected from the eye may be obtained via the one or more inward-facing infrared devices of the head-mounted device. A machine learning model (e.g., comprising a neural network or other components) may be used to generate an eye-related indication based on the reflection data comprising one or more anomalies.