Eye Movement Tracking for Automated Vision Exercise Generation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Extended computer screen use leads to eye strain and convergence insufficiency due to inadequate engagement of all eye muscles, as current methods rely on manual use of physical eye exercises that users may not recognize or utilize appropriately.
Innovation Solution
A method using an image capture device to track eye movements, analyze data for vision-related issues, and generate two-dimensional visual exercises through a graphical user interface to address identified problems, such as convergence insufficiency, automatically providing users with targeted eye exercises.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual physical eye exercises are used, then users can perform eye exercises, but users may not recognize or utilize them appropriately due to lack of awareness
Solution Approach 1:
The system automatically detects vision issues through eye movement tracking and provides tailored eye exercises without requiring user awareness or manual initiation. The system serves itself by monitoring eye movements, identifying vision problems, and deploying appropriate exercises through the graphical user interface, eliminating the need for users to recognize their own vision issues.
Solution Approach 2:
The system continuously monitors eye movements and provides feedback about vision status and exercise progress. By analyzing eye movement data and comparing it against normal patterns, the system identifies vision issues and adjusts exercise recommendations accordingly, creating a closed-loop system that adapts to user needs without requiring manual input.
2Extent of automation
If automated eye movement tracking is implemented, then vision issues can be automatically detected, but device complexity increases
Solution Approach 1:
The image capture device serves multiple functions: it captures images for display, simultaneously tracks eye movements for vision analysis, and provides data for exercise generation. This multi-functionality reduces the need for separate dedicated tracking hardware, thereby limiting the increase in device complexity while achieving automated detection.
Solution Approach 2:
The system uses an intermediary processing layer that analyzes eye movement data and translates it into vision issue diagnoses and exercise recommendations. This intermediary software layer simplifies the overall system architecture by abstracting the complexity of eye tracking algorithms from the hardware components.
3Productivity
If traditional physical eye exercise charts are used, then exercises can be performed, but users must take initiative and awareness is required
Solution Approach 1:
The system performs preliminary detection of vision issues through continuous eye movement monitoring before the user seeks help or takes action. By proactively identifying vision problems and preparing tailored exercise programs in advance, the system eliminates the time loss associated with user awareness and initiation, immediately beginning the exercise regimen once vision issues are detected.
Data Source
AI summary
A method, computer program product, and system includes a processor(s) utilizing the image capture device to track eye movements of a user interacting with a display communicatively coupled to the one or more processors, the image capture device continuously collecting image data. The processor(s) determines, based on analyzing the collected image data, a probability of whether a user may be experiencing a vision-related issue. Based on the probability being within a given pre-determined range, the processor(s) identifies the vision-related issue experienced by the user. The processor(s) generates, based on the vision-related issue, a two dimensional visual exercise to address the vision-related issue for performance by the user. The processor(s) deploys a graphical user interface to the display, where the graphical user interface comprises the visual exercise. The processor(s) provides the visual exercise to the user via the graphical user interface.


