Split-Vision Eye Testing With VR Guidance and Eye-Movement Tracking
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Solution Overview
Problem
Current eye tests, such as visual acuity and visual field tests, are prone to errors and require professional administration, which is time-consuming and inconvenient for self-assessment, and there is a need for more robust guidance systems incorporating machine learning to improve accuracy and consistency.
Innovation Solution
The system uses virtual reality and augmented reality devices with sensors and machine learning algorithms to guide users through eye tests, providing accurate and consistent results by tracking eye movements and adjusting test conditions in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If professional administration of eye tests is used, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system enables patients to self-administer eye tests through a user-friendly interface that guides them through the testing process. The software provides real-time instructions and automatically processes results, eliminating the need for professional administration while maintaining test accuracy through standardized protocols and automated quality control.
Solution Approach 2:
The patent replaces the mechanical interaction between a professional tester and test subject with an automated computer-based system. The system uses software algorithms, sensors, and processing units to automatically administer tests, track responses, and evaluate results, substituting human administration with electronic automation that maintains precision while reducing time requirements.
2Loss of time
If self-administered eye tests are used, then loss of time is reduced, but reliability deteriorates
Solution Approach 1:
The system incorporates continuous feedback mechanisms that monitor the patient's responses and provide real-time guidance. The software tracks test progress, validates responses against expected patterns, and provides immediate feedback on test completion criteria. This automated feedback loop ensures consistent test administration and result interpretation, maintaining reliability while enabling self-administration.
Solution Approach 2:
The system dynamically adjusts test parameters based on patient responses and performance. The software modifies test difficulty, timing, and presentation characteristics in real-time based on automated analysis of patient behavior. This adaptive approach ensures optimal test conditions are maintained throughout, improving both the speed and reliability of self-administered tests.
3Reliability
If machine learning algorithms are incorporated, then reliability is improved, but device complexity increases
Solution Approach 1:
The system integrates multiple functions into a single unified platform that handles test administration, data collection, machine learning analysis, and result interpretation. The software serves as a universal system that combines professional testing protocols with automated AI-based quality control, eliminating the need for separate complex systems while improving reliability through comprehensive data analysis.
Data Source
AI summary
Embodiments of the invention are directed towards systems, methods and computer program products for providing improved eye tests. Such tests improve upon current eye tests, such as visual acuity tests, by incorporating virtual reality, software mediated guidance to the patient or practitioner such that more accurate results of the eye tests are obtained. Furthermore, through the use of one or more trained machine learning or predictive analytic systems, multiple signals obtained from sensors of a testing apparatus are evaluated to ensure that the eye test results are less error-prone and provide a more consistent evaluation of a user's vision status. As it will be appreciated, such error reduction and user guidance systems represent technological improvements in eye tests and utilize non-routine and non-conventional approaches to the improvement and reliability of eye tests.