Amblyopia Training Device with Dynamic Image Concentration Control
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Solution Overview
Problem
Existing eyesight training methods, such as the 'blind method,' fail to consider individual cognitive power differences between eyes and can lead to deterioration of non-amblyopic eye power during training, resulting in unsatisfactory correction and increased fatigue.
Innovation Solution
An eyesight training device with a display unit and controller that measures and manages cognitive power by providing separate recognition images for each eye, determining amblyopia, and adjusting the concentration of recognition restraining images to tailor training based on measured cognitive power, thereby improving cognitive power balance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the blind method is used to block the visual field of the non-amblyopic eye, then the amblyopic eye is forced to recognize objects, but the cognitive power of the non-amblyopic eye deteriorates and the user feels more tired
Solution Approach 1:
The patent changes the parameter of image concentration dynamically. Instead of completely blocking the non-amblyopic eye, the system adjusts the concentration value of the recognition restraining image to gradually reduce visual recognition difficulty while maintaining training effectiveness. This allows the non-amblyopic eye to participate in recognition without complete blockage, preventing cognitive power deterioration.
Solution Approach 2:
The system dynamically adjusts the concentration value of the recognition restraining image based on real-time recognition difficulty assessment. The concentration value changes from high to low as training progresses, allowing the non-amblyopic eye to gradually engage in recognition tasks while the amblyopic eye receives appropriate training stimulation.
2Productivity
If the blind method blocks the visual field of the non-amblyopic eye, then training focuses on the amblyopic eye, but individual cognitive power differences are not considered and training effectiveness is unsatisfactory
Solution Approach 1:
The system introduces feedback mechanisms by measuring recognition difficulty and adjusting the concentration value of the recognition restraining image accordingly. The controller continuously monitors whether the user can recognize the image and modifies the training parameters in real-time, adapting to the user's individual cognitive power characteristics and improving training efficiency.
Solution Approach 2:
The patent segments the training process into distinct phases: initial measurement of cognitive power for each eye, determination of recognition difficulty, and gradual adjustment of concentration values. This segmentation allows the system to address individual cognitive power differences and provide customized training for each eye based on measured capabilities.
3Measurement precision
If complete blockage of the non-amblyopic eye is applied, then the amblyopic eye is trained intensively, but the cognitive power balance between eyes worsens
Solution Approach 1:
The system changes the concentration parameter of the recognition restraining image from complete blockage to partial transparency. By adjusting the concentration value, the non-amblyopic eye can partially participate in recognition tasks, maintaining cognitive power balance while still providing sufficient stimulation to the amblyopic eye for effective training.
Data Source
AI summary
An eyesight training device for cognition correction which includes a display unit; a user input unit; and a controller for controlling the display unit to overlap a recognition restraining image, which restrains a visual recognition of a recognition image, with the recognition image and to gradually change a concentration value of the recognition restraining image, and for storing, as recognition level information, information corresponding to a concentration value of the recognition restraining image as of a time when a visibility change confirmation input is input through the user input unit of the visibility change confirmation input is input.