Dichoptic VR Eye Training for Adaptive Alignment and 3D Vision
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Solution Overview
Problem
Existing treatments for conditions like strabismus and myopia are lengthy and costly, and there is a need for effective virtual reality-based eye exercise and visual perception training to improve eye movement ability and three-dimensional vision.
Innovation Solution
An apparatus and method utilizing dichoptic presentations on multiple displays to provide personalized eye movement and visual perception training, adjusting difficulty levels based on user deviation and ability, with a control module to change images accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional eyeglass treatment or vision correction training is used for strabismus, then vision correction can be achieved, but the treatment time is long and the cost burden is high
Solution Approach 1:
The patent replaces traditional mechanical/optical correction methods (eyeglasses, manual training) with a virtual reality-based system that uses computational algorithms to generate customized visual stimuli. The system automatically adjusts presentation parameters based on user responses, replacing lengthy manual training sessions with an automated adaptive learning process that achieves similar vision correction outcomes more efficiently
Solution Approach 2:
The system dynamically changes multiple parameters including stimulus type, presentation location, difficulty level, and training duration based on real-time user performance data. This adaptive parameter adjustment allows the system to optimize training efficiency at each stage, reducing overall treatment time while maintaining correction effectiveness
2Reliability
If dichoptic presentations are provided for binocular disparity training, then eye alignment can be improved, but additional damage to three-dimensional vision may occur due to restraint
Solution Approach 1:
The patent applies different presentation strategies to different visual elements based on their spatial location and functional requirements. The system selectively provides dichoptic presentations only for specific regions and stimulus types that need alignment correction, while maintaining monoptic presentations for other elements that preserve three-dimensional perception. This localized approach allows targeted eye alignment training without compromising overall three-dimensional vision
Solution Approach 2:
The system dynamically adjusts the dichoptic presentation strategy based on real-time detection of user eye alignment status and three-dimensional vision capability. When a user demonstrates improved alignment or maintains good three-dimensional perception, the system transitions from restrictive dichoptic presentations to more flexible presentation modes, preventing unnecessary restraint damage while maintaining training effectiveness
3Ease of operation
If fixed difficulty level training is provided, then training simplicity is maintained, but it cannot adapt to individual user deviation levels and training abilities
Solution Approach 1:
The system continuously monitors user responses to visual stimuli and automatically adjusts difficulty parameters based on performance feedback. The control module analyzes accuracy, response time, and eye movement patterns to dynamically modify stimulus characteristics, ensuring each user receives customized training at the appropriate challenge level. This feedback-driven adaptation maintains simplicity from the user perspective while providing highly personalized training content
Solution Approach 2:
The training system transitions from static fixed difficulty levels to dynamic adaptive difficulty that responds to individual user capabilities. The system automatically adjusts presentation parameters such as stimulus location precision, movement speed, and disparity magnitude based on real-time performance data, creating a personalized training trajectory that matches each user's deviation level and learning ability
Data Source
AI summary
The present invention relates to an apparatus and method for providing virtual reality-based eye movement exercise and visual perception training, wherein a dichoptic presentation is provided in consideration of the deviation of a user's eyeball so as to prevent additional damage to stereoscopic vision due to suppression, and is provided by adjusting the degree of difficulty by changing the locations of visual stimuli on the basis of the level of deviation and training capability of the user, thus making it possible for the user to not only receive training suitable for the user's condition, but also simultaneously undergo visual perception training including eye exercise (movement) training and stereoscopic perception recognition.