Hybrid Eye Movement Tracking System for VOR Testing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for measuring eye movements and testing vestibulo-ocular reflex (VOR) are invasive, time-consuming, or limited by high costs and technical limitations, such as electronic drift and accuracy issues in complete darkness, and lack customization for individual subjects.
Innovation Solution
A system combining video-based and non-video-based sensors to accurately measure both low-speed and high-speed eye movements, using a hybrid approach with a data processing device to assess eye movement tracking, center of pressure, and head position, enabling customizable testing and training protocols for VOR and visual motor performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If scleral search coil method is used, then measurement precision of eye movements is improved, but device complexity and invasiveness increase
Solution Approach 1:
The patent replaces the mechanical scleral search coil method with a video-based optical system. The eye movement measurement device uses video recording and analysis of pupil movements instead of electromagnetic coils, eliminating the need for invasive contact lenses while maintaining measurement capability through optical tracking of eye position.
Solution Approach 2:
The patent introduces an intermediary computational analysis system that processes video footage to extract eye movement data. Instead of directly measuring electromagnetic signals from coils, the system uses video recording combined with image processing algorithms to track pupil position and calculate eye movement parameters, serving as an intermediary between optical input and measurement output.
2Ease of operation
If video recording method is used, then ease of operation is improved, but measurement precision of high-speed eye movements deteriorates
Solution Approach 1:
The patent addresses the frame rate limitation by changing the temporal sampling parameter through multiple cameras positioned at different angles. By capturing eye movements from multiple perspectives simultaneously, the system effectively increases the measurement coverage and precision for high-speed movements without requiring each individual camera to operate at extremely high frame rates.
3Speed
If non-video based infrared technology is used, then speed of measurement is improved, but reliability in complete darkness deteriorates
Solution Approach 1:
The patent merges multiple measurement approaches by combining video-based optical tracking with non-video infrared detection. This hybrid system integrates the advantages of both methods: video recording provides reliable visual tracking in normal lighting conditions, while infrared technology supplements measurement capability in low-light or complete darkness scenarios, maintaining reliability across varying environmental conditions.
4Ease of operation
If conventional VOR tests are used, then ease of operation is improved, but adaptability to individual subjects deteriorates
Solution Approach 1:
The patent implements dynamic, customizable testing protocols that can be adapted to individual subject needs. The system allows clinicians to configure test parameters, stimulus characteristics, and measurement criteria based on specific patient requirements, transforming static conventional protocols into flexible, subject-specific testing regimens while maintaining ease of operation through automated delivery.
Data Source
AI summary
A system for vision testing and/or training of a user is disclosed herein. In one embodiment, the system includes an eye movement tracking device, a visual display device having an output screen, and a data processing device operatively coupled to the eye movement tracking device and the visual display device. The data processing device being programmed to generate and display the at least one visual object on the output screen of the visual display device; displace the at least one visual object across the output screen of the visual display device; and determine, based upon the signal received from the eye movement tracking device, whether the user is able to accurately track the at least one visual object as the at least one visual object is displaced across the output screen of the visual display device.


