Head-Mounted Display for Objective Binocular Dysfunction Assessment
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Solution Overview
Problem
Current methods for diagnosing binocular dysfunction are subjective and require clinical experience, lacking objective measures for oculomotor function assessment, which is essential for effective screening and therapy evaluation.
Innovation Solution
A system utilizing a head-mounted display with a computing system to objectively assess oculomotor function by rendering visual stimuli, adjusting for asymmetrical eye movements, and dynamically modifying visual stimulation to improve binocular coordination, incorporating oculomotor assessment software that quantifies various oculomotor characteristics and provides a comprehensive assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If subjective screening tools are used to assess oculomotor function, then clinical experience is required for accurate measurement, but the complexity and accessibility of the diagnostic process increases
Solution Approach 1:
The patent replaces subjective clinical assessment with an objective computational system that uses image capture devices and algorithms to automatically measure oculomotor parameters. The system substitutes manual clinical judgment with automated image processing and analysis, eliminating the need for specialized clinical experience while maintaining measurement accuracy.
Solution Approach 2:
The system enables self-assessment of oculomotor function through automated algorithms that independently analyze captured images and generate diagnostic measurements. The computational system performs self-calibration and self-evaluation, reducing reliance on external expert intervention and simplifying the diagnostic workflow.
2Productivity
If manual clinical assessment methods are used, then professional expertise is needed, but the productivity and efficiency of screening decreases
Solution Approach 1:
The patent replaces manual clinical assessment with an automated computational system that objectively measures oculomotor parameters from captured images. The system uses algorithmic analysis to eliminate subjective bias and improve measurement objectivity, while simultaneously increasing screening throughput and productivity.
Solution Approach 2:
The system incorporates automated feedback mechanisms where the computational algorithm continuously refines measurements based on captured image data. The system provides real-time objective feedback on oculomotor function, enabling efficient screening with high measurement precision without requiring manual intervention at each step.
3Reliability
If visual stimuli are adjusted for asymmetrical eye movements, then binocular coordination is improved, but the device complexity and computational requirements increase
Solution Approach 1:
The patent implements dynamic adjustment of visual stimuli based on real-time detection of asymmetrical eye movements. The system continuously adapts the presentation of visual content to compensate for detected ocular asymmetries, improving binocular coordination through adaptive rendering techniques that modify stimulus parameters on the fly.
Solution Approach 2:
The system changes key parameters of visual stimuli (such as presentation timing, position, or intensity) based on detected oculomotor characteristics. By dynamically adjusting these parameters, the system compensates for asymmetrical eye movements and improves binocular coordination without requiring complex hardware modifications.
Data Source
AI summary
Exemplary embodiments relate to systems, methods, and apparatus to objectively assess binocular dysfunction for screening, diagnoses, and evaluation of vision/oculomotor function before, during, and after various forms of therapeutic interventions. Systems and methods diagnose and assess binocular dysfunction objectively and automatically, can render a visual stimulus on one or more displays, and can control accommodative and proximal vergence stimulation of a user's eyes.