Visual Acuity Training Device with Real-Time Eye Tracking
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Solution Overview
Problem
Existing visual acuity training devices lack customization and real-time monitoring, failing to adjust training based on individual visual acuity changes, leading to ineffective muscle balancing and potential visual fatigue.
Innovation Solution
A visual acuity training device comprising a guiding unit, eye-movement sensor, and controller that adjusts the position of a visible target object based on real-time eye movement signals to detect and correct unbalanced ocular muscle movements, using historical muscle parameter data to determine abnormal conditions and adjust training parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If unified visual acuity training mode is used, then device complexity is reduced and ease of operation is improved, but adaptability to individual visual acuity changes deteriorates
Solution Approach 1:
The training device dynamically adjusts training parameters including target position, movement speed, and training duration based on real-time eye movement data and historical muscle parameters, transforming the static unified training mode into a dynamic personalized training program that adapts to individual visual acuity changes
Solution Approach 2:
The system implements continuous feedback loops where eye movement sensors monitor real-time ocular muscle activity, the controller analyzes muscle parameter changes compared to historical data, and the guiding unit adjusts training targets accordingly, enabling the system to automatically adapt to individual visual acuity variations without increasing operational complexity
2Measurement precision
If real-time eye movement sensing and continuous monitoring are implemented, then measurement precision and reliability are improved, but device complexity increases
Solution Approach 1:
The controller serves multiple functions including receiving eye movement signals from sensors, calculating eyeball muscle parameters, comparing current parameters with historical baseline data, determining abnormal muscle movements, and adjusting training parameters - consolidating these functions into a single processing unit to minimize device complexity while maintaining high measurement precision
Solution Approach 2:
The system automatically performs real-time monitoring, data analysis, and training parameter adjustment without requiring external intervention or complex manual calibration, enabling the device to self-regulate based on measured eye movement data while maintaining precision
3Reliability
If personalized training based on individual visual acuity changes is provided, then adaptability and reliability are improved, but loss of time for data collection and analysis increases
Solution Approach 1:
The system collects and stores historical eyeball muscle parameters during initial use and ongoing training sessions, establishing a personalized baseline profile in advance that enables rapid comparison and decision-making during subsequent training sessions, reducing the time required for real-time analysis while maintaining reliability
Data Source
AI summary
A visual acuity (VA) training device includes a guiding unit, an eye-movement sensor, and a controller. The guiding unit is configured to guide an eyeball to move towards multiple predetermined positions. The eye-movement sensor is configured to obtain multiple eye-movement signals according to movement of the eyeball. The controller obtains multiple eyeball muscle parameters according to the eye-movement signals, and the controller controls the guiding unit according to the eyeball muscle parameters, so as to adjust the predetermined positions.