Stereoscopic Vision Training Apparatus for Strabismus Correction
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Solution Overview
Problem
Children with strabismus often experience visual confusion and double vision due to misaligned eyes, leading to impaired binocular vision and amblyopia if not treated early, necessitating effective stereoscopic vision training to improve visual perception.
Innovation Solution
A stereoscopic vision training apparatus and method that includes a display module, memory, input module, and control module to output reference images, set training coordinates based on strabismus angle measurements, and provide training images with varying stereoscopic effects to enhance visual perception and correct strabismus.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If stereoscopic vision training is provided using conventional methods, then visual perception ability may be improved, but the training cannot accurately reflect the individual strabismus angle of each patient
Solution Approach 1:
The system performs preliminary measurement of the patient's strabismus angle before the actual vision training begins. The measured strabismus angle information is stored and used to configure the training parameters, ensuring that the training is tailored to the individual patient's condition without adding complexity during the training phase itself.
Solution Approach 2:
The training images are generated with stereoscopic disparity parameters that are specifically adjusted based on the measured strabismus angle. By changing the disparity parameters according to the individual patient's strabismus angle, the system achieves accurate reflection of patient-specific conditions while using standard training procedures.
2Reliability
If training images with high stereoscopic effects are used, then visual perception training effectiveness is improved, but the system complexity increases due to coordinate setting and image generation requirements
Solution Approach 1:
The system generates training images by creating stereoscopic pairs from single reference images. By copying and processing the reference images with adjusted disparity parameters, the system produces high-quality training images with effective stereoscopic effects without requiring complex multi-image generation processes.
Solution Approach 2:
The system adjusts the stereoscopic disparity parameters of training images based on the measured strabismus angle. By changing only the disparity parameter while keeping other image characteristics consistent, the system achieves effective training images with controlled complexity in the image generation process.
3Measurement precision
If the training apparatus measures and adjusts for individual strabismus angles, then training precision is improved, but the operation time and procedure complexity increase
Solution Approach 1:
The strabismus angle measurement and training coordinate calculation are performed as preliminary steps before the actual vision training begins. By completing these precision-setting operations in advance, the system ensures accurate training without adding time during the training execution phase.
Solution Approach 2:
The system automatically calculates the training coordinates based on the measured strabismus angle without requiring manual intervention. The apparatus performs self-configuration by processing the measurement data and generating appropriate training parameters, reducing both time and operational complexity.
Data Source
AI summary
Disclosed is a stereoscopic vision training providing apparatus including a display module, a memory including a first reference image, a second reference image, a plurality of training images, stereoscopic vision information, an input module that receives a response of a trainee, and a control module that outputs the first reference image to a first area of the display module, and outputs the second reference image to a second area of the display module, sets training coordinates based on a coordinate change signal for the first reference image and the second reference image, outputs the plurality of training images with different stereoscopic effects to the display module based on the training coordinates, and performs a stereoscopic vision training operation of receiving a selection response to a training image with a high stereoscopic effect.