Ocular Sensor Eye Movement Authentication
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Solution Overview
Problem
Conventional biometric authentication methods, such as password and security card authentication, are vulnerable to hacking and unauthorized access, while biometric techniques like fingerprint and eye-based authentication face issues like high error rates and user inconvenience, limiting their widespread adoption.
Innovation Solution
The system employs eye movement and pupil size change matching using an ocular sensor to continuously authenticate users by comparing collected data samples with predefined templates, enhancing security and accuracy by regularly monitoring eye movement and pupil size changes during device use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If password authentication is used, then device security is maintained, but user convenience deteriorates due to the need to remember and re-enter passwords
Solution Approach 1:
The patent replaces the mechanical/password-based authentication system with an optical biometric system that measures eye movement and pupil size. The ocular sensor captures images of the user's eye, and the system analyzes movement patterns and pupil dilation to authenticate the user, eliminating the need for passwords and keyboarding operations.
Solution Approach 2:
The authentication system operates autonomously by continuously monitoring eye movement and pupil size without requiring user intervention. The system automatically compares captured biometric data against stored templates and makes authentication decisions without user input, making the process seamless and convenient.
2Ease of operation
If fingerprint authentication is used, then user convenience is improved, but security reliability deteriorates due to vulnerability to counterfeiting and spoofing
Solution Approach 1:
The patent measures multiple dynamic parameters of eye movement and pupil size rather than relying on a single static biometric feature. By analyzing movement velocity, acceleration, and pupil dilation rates, the system creates a more complex authentication profile that is difficult to replicate through spoofing attempts.
Solution Approach 2:
The system continuously monitors eye movement and pupil size throughout the authentication process and during device usage, rather than performing a single fingerprint scan. This continuous biometric verification makes it extremely difficult for attackers to present counterfeit credentials.
3Reliability
If eye-based biometric authentication is used, then security reliability is improved, but measurement precision deteriorates due to high error rates
Solution Approach 1:
The patent divides the eye biometric measurement into separate components: eye movement tracking and pupil size measurement. Each component is analyzed independently and then combined for final authentication, allowing for more precise measurement and comparison of each feature's contribution to user identification.
Solution Approach 2:
The system performs preliminary calibration and template creation during an initial enrollment phase, capturing baseline eye movement patterns and pupil size characteristics. This preliminary data is stored and used for subsequent authentication comparisons, improving accuracy by establishing personalized reference profiles for each user.
4Reliability
If iris recognition is used, then security reliability is improved, but ease of operation deteriorates due to intrusive requirements
Solution Approach 1:
The patent uses an intermediary ocular sensor system that non-intrusively captures eye images from a distance, eliminating the need for the user to physically position their eye close to or at a specific orientation relative to the sensor. The sensor acts as an intermediary that gathers biometric data remotely while the user maintains natural viewing positions.
Data Source
AI summary
A system for eye movement and pupil size change matching for user authentication includes an ocular sensor that is configured to sense eyes of a user and collect data indicative of the user's eye movement and pupil size changes. When a user's eyes are detected, the logic analyzes data collected by the ocular sensor in order to determine whether the sensed data match data extracted from a template defined by the eye movement and pupil size changes of an authorized user. If so, the user is authenticated and is permitted to access at least one restricted resource. As an example, the user may be permitted to access an application or sensitive data stored on a computer system or to access a restricted area, such as a room of a building.


