Eye Refraction Measurement Using Eye-Tracking Recognition Thresholds
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Solution Overview
Problem
Existing methods for determining refractive errors require subjective user reactions or specialist equipment, limiting their accessibility and usability in mobile settings.
Innovation Solution
A method using eye movement metrics captured through a visual display unit and video camera to determine refractive errors without requiring subjective user input, utilizing patterns and eye tracking to establish a recognition threshold for refractive error determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If subjective determination methods using optotypes and questionnaire processes are used, then refractive error can be determined with simple equipment, but the process requires specialist interpretation and user cooperation
Solution Approach 1:
The system performs automatic refraction determination without requiring specialist interpretation. The apparatus captures eye movement metrics and automatically processes them to determine refractive error, eliminating the need for optician intervention while maintaining measurement accuracy.
Solution Approach 2:
The patent replaces subjective questionnaire-based methods with objective eye movement tracking. Instead of relying on user responses to questions about visual acuity, the system uses video cameras to capture and analyze actual eye movement metrics, substituting mechanical/optical measurement for subjective reporting.
2Measurement precision
If objective determination methods with optical measuring appliances are used, then refractive error can be determined without subjective user input, but the equipment is stationary and requires specialist operation
Solution Approach 1:
The apparatus is designed to function in multiple settings - both stationary clinical environments and mobile applications. By using standard video camera technology and software-based eye movement analysis, the system can be deployed in optician shops, hospitals, and potentially portable configurations, expanding its adaptability across different environments.
Solution Approach 2:
The system uses video camera imaging to create a digital copy of the eye and its movements, replacing the need for complex physical optical measuring appliances. This digital replication allows the measurement system to be more easily transported and deployed in various settings while maintaining measurement capabilities.
3Adaptability or versatility
If eye movement metrics are captured using video camera and visual display unit, then refractive error determination becomes accessible to non-specialists in mobile settings, but requires processing of dynamic visual stimuli
Solution Approach 1:
The system pre-programs multiple test patterns and eye movement analysis algorithms into the apparatus. These preliminary configurations allow the device to automatically conduct refraction tests without requiring the operator to manually set up complex visual stimuli or interpret eye movement data, simplifying the user experience while maintaining measurement sophistication.
Solution Approach 2:
The system implements automated feedback loops where eye movement metrics captured by the video camera are immediately processed by the evaluation unit to determine refractive error. This real-time feedback mechanism eliminates the need for manual intervention or complex post-processing, making the system accessible to non-specialists while handling the computational complexity internally.
Data Source
AI summary
A method, a device, and a computer program for determining a refractive error of at least one eye of a user are disclosed, as well as a method for producing a spectacles lens for the user. The method includes: displaying at least one symbol on a screen, wherein at least one parameter of the symbol displayed on the screen is changed; detecting eye movement metrics of the eye of the user according to the symbol displayed on the screen; establishing a point in time at which a recognition threshold of the user is revealed for the symbol displayed on the screen from the eye movement metrics of the eye of the user; and determining a value for the refractive error of the eye of the user from the at least one parameter established at the point in time.