Eye Tracking System with Ocular Biometric Identification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Diagnosing and localizing central nervous system injuries and abnormalities, such as increased intracranial pressure, concussion, and impaired cranial nerve function, is challenging due to the lack of effective non-invasive diagnostic methods.
Innovation Solution
A system that combines eye tracking capabilities with ocular biometric identification, using an eye tracking device with an infrared camera and processor to analyze eye movement data and generate a score for abnormalities, while also incorporating biometric identification through a cloud-based service, which can be integrated into existing eye tracking systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If eye tracking measurement is used to diagnose central nervous system injuries, then diagnostic capability for neurological conditions is improved, but the system lacks biometric identification functionality
Solution Approach 1:
The patent combines eye tracking measurement capabilities with ocular biometric identification into a single integrated system. The eye tracking device captures ocular data that serves dual purposes: analyzing eye movement patterns for neurological diagnosis and extracting biometric features for patient identification, thereby merging two functional systems into one
2Adaptability or versatility
If a comprehensive diagnostic system is developed for multiple neurological conditions, then the scope of diagnosis is improved, but device complexity increases
Solution Approach 1:
The eye tracking device is designed as a universal diagnostic tool that can identify multiple types of central nervous system injuries and abnormalities including increased intracranial pressure, concussion, traumatic brain injury, and impaired cranial nerve function through a single measurement system, eliminating the need for separate specialized devices for each condition
Solution Approach 2:
The system automatically processes eye tracking data to generate diagnostic information and biometric identification without requiring separate manual assessment procedures. The processor analyzes ocular data to produce both neurological diagnostic results and patient identification, reducing the need for additional operational complexity
Data Source
AI summary
A method for measuring eye tracking in a patient and capturing ocular biometric identifying information from the patient may involve: displaying a video to the patient on a stimulus screen of an eye tracking and biometric identification system; tracking movement of the patient's eyes during display of the video via an eye tracking camera of the eye tracking and biometric identification system; capturing ocular biometric identifying information from the patient with an ocular biometric capture device of the eye tracking and biometric identification system; generating, with a computer processor of the eye tracking and biometric identification system, a score representing an ability of the patient's eyes to track the video; and confirming, with the computer processor, an identity of the patient, based on the captured ocular biometric identifying information.