Automated Eye Tracker Strabismus Angle Measurement
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Solution Overview
Problem
Current methods for determining strabismus angles, such as the prism cover test and alternate prism cover test, are inaccurate and time-consuming, leading to a high rate of unsuccessful eye surgeries due to incorrect measurements.
Innovation Solution
A method using an eye tracker device to measure the position and line of sight of an individual's eyes by displaying a small image element on a screen, calculating the strabismus angle by determining the difference in horizontal and vertical gaze directions between the eyes, and storing the results for statistical analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated eye tracking is used to measure strabismus angle, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent replaces manual mechanical measurement methods (prism cover tests requiring physical prisms and manual angle estimation) with an automated optical eye tracking system that uses cameras and image processing to detect eye position and calculate strabismus angles automatically, thereby improving precision while the automation reduces operational complexity
Solution Approach 2:
The patent introduces an intermediary computer system that processes raw eye tracking data through algorithms to calculate strabismus angles, serving as a mediator between the eye tracker hardware and the final measurement result, which manages the complexity by encapsulating the computational logic in a dedicated processing layer
2Device complexity
If manual measurement methods are used, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The eye tracking system performs self-calibration and automatic angle calculation without requiring manual intervention for each measurement, with the computer system automatically processing the eye position data and computing strabismus angles, thereby maintaining simplicity in operation while achieving high precision through automated algorithms
3Loss of time
If traditional prism cover test is used, then measurement time is reduced, but measurement precision deteriorates
Solution Approach 1:
The eye tracking system continuously captures eye position data at high frame rates throughout the measurement process, allowing for multiple measurements and statistical analysis to be performed simultaneously, thereby maintaining rapid measurement while improving precision through continuous data collection and averaging
4Measurement precision
If high cooperation level is required from patient, then measurement accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The patent replaces methods requiring active patient participation (such as responding to commands or maintaining specific positions) with passive eye tracking that automatically detects eye movements and positions through optical sensing, thereby maintaining measurement precision while significantly reducing the cooperation and attention required from the patient
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides a more precise and efficient measurement of strabismus angles, reducing the need for reoperations and improving the accuracy of eye surgery by allowing for high-precision calculation of strabismus angles.
Implementation Method 1
providing an eye tracker device to follow the viewing direction of the eyes of the individual; measuring a position and line of sight of the eyes of the individual with the eye tracker device
Data Source
AI summary
A method, system and computer readable medium for determining a strabismus angle of the eyes of an individual by: positioning the individual with his or her eyes in front of an eye tracker device and in front of a screen at a viewing distance; displaying a small image element on the screen; measuring a position and line of sight of the eyes of the individual with the eye tracker device while the individual is focussing on the small image element; forwarding the measured position and line of sight of the eyes from the eye tracker device to a computer system; and, calculating the strabismus angle between the eyes by calculating the difference in line of sight of the left and right eyes of the individual.

