3D Binocular Eye Movement Analysis for Objective Trajectory Diagnosis
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Solution Overview
Problem
Existing binocular motor tests for detecting neurological pathologies are often subjective and practitioner-dependent, lacking efficient methods to analyze binocular motricity accurately.
Innovation Solution
A method for processing data representative of binocular motor skills using a binocular motor skills stimulation device that stimulates saccades and vergences, acquiring eye movements, determining effective and representative trajectories, and comparing them to eliminate errors, thereby obtaining characteristic parameters for potential pathologies like dyslexia or vertigo.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If binocular motor tests are conducted using traditional methods, then the testing process can be performed, but the results are subjective and practitioner-dependent, reducing measurement precision
Solution Approach 1:
The patent replaces subjective practitioner assessment with an automated computer-based system that processes eye movement data. The processing unit automatically determines effective trajectories, compares them with representative trajectories, and eliminates erroneous data, substituting human judgment with objective algorithmic analysis to achieve precise, reproducible diagnostic results
Solution Approach 2:
The patent creates representative trajectories as ideal reference models that are copied and compared against actual eye movement trajectories. This allows automated comparison and objective evaluation of binocular motor skills against established norms, eliminating subjectivity in diagnostic assessment
2Measurement precision
If all effective trajectories are processed to obtain trajectory representative, then measurement precision is improved, but processing time increases
Solution Approach 1:
The patent extracts and eliminates erroneous trajectories by comparing each effective trajectory with the representative trajectory and removing those that deviate beyond acceptable thresholds. This extraction of invalid data points ensures that only accurate trajectories contribute to the final diagnostic parameters, maintaining precision while optimizing processing efficiency
Solution Approach 2:
The patent performs preliminary processing by determining a representative trajectory from all effective trajectories before final analysis. This pre-processing step organizes the data structure and establishes reference standards in advance, facilitating faster and more efficient subsequent comparisons and parameter extractions
Data Source
AI summary
The invention relates to a method of processing data representative of a person's binocular motricity, the method comprising the following steps: —stimulating the binocular motricity of a person by means of a binocular motricity stimulation device (21) configured to specifically stimulate saccades, vergences or a combination of both or of a reading test (22); physical stimuli in 3D real space seen with both eyes naturally (without artifices); acquiring the movement of the right eye (RE) and left eye (LE) of a person (P) during said stimulation and, if applicable, a stimulation signal from the binocular motor stimulation device; the method comprising the following steps implemented in a processing unit (3); determination from the movement of the left eye (LE) and the right eye (RE), of an effective trajectory (Tr1) of the eyes in response to each stimulation, an effective trajectory corresponding to a saccade and/or a vergence movement of the eyes.