Single Sensor Eye Tracking for Neurological Diagnosis
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Solution Overview
Problem
Current devices are unable to accurately and quickly measure and record symmetry, convergence, and latency in eye movements, and relate these measurements to the likelihood of brain-related deficiencies or learning impairments.
Innovation Solution
A system that tracks eye movement by using a single sensor to detect the movement of both eyes simultaneously, with a controller that records and evaluates the apparent distance of an object from the eyes, and calculates convergence or divergence rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single sensor is used to detect both eyes simultaneously, then measurement speed and accuracy are improved, but device complexity is reduced
Solution Approach 1:
The patent combines multiple measurement functions into a single sensor system. The camera captures images of both eyes simultaneously, and the processor integrates the detection of eye position, pupil center, and corner points into one unified processing pipeline, eliminating the need for multiple separate sensors and reducing system complexity while maintaining measurement accuracy.
Solution Approach 2:
The single camera sensor performs multiple functions: detecting eye position, tracking pupil movement, identifying corner points, and measuring convergence. This multi-functional approach replaces what would traditionally require multiple specialized sensors, simplifying the device while improving measurement precision through coordinated observation of both eyes.
2Reliability
If executive function is used to control vision and convergence, then brain processing is engaged, but chaotic fluctuations occur in data collection
Solution Approach 1:
The patent extracts and isolates the automatic response system from executive function control. By presenting visual stimuli that trigger innate reflexive eye movements and convergence responses, the system eliminates voluntary control interference. The processor then separately analyzes the pure automatic response data, removing chaotic fluctuations caused by cognitive processing while maintaining reliable measurement of neurological function.
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
Enables timely and accurate detection of neurological conditions, including acute and chronic brain injuries, by providing precise measurements of eye movement anomalies, allowing for early intervention and improved diagnostic capabilities.
Implementation Method 1
The light beam is reflected from each of the fixed reflective surfaces toward a second pair of movable reflective surfaces. The light beam is next reflected from each of the movable reflective surfaces, one in the direction of each eye
Implementation Method 2
The movable reflective surfaces are positioned by independent positioning devices controlled by a controller. The object is next reflected to a second apparent distance from the eyes
Data Source
AI summary
In described embodiments, a device and method for diagnosing brain and neurological issues is provided. The device measures the performance of Convergence, Divergence, and binocular tracking capabilities of a subject's eyes, which can be used to determine whether a subject has experienced a brain or other neurological event.