EEG Authentication Baseline Profile Generation
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Solution Overview
Problem
Current authentication methods lack a secure and efficient way to verify user identity, particularly in dynamic and high-security environments, where traditional biometrics may fail to provide reliable and unique user identification.
Innovation Solution
The use of EEG data to create a baseline user profile through event-related potentials and spectral analysis, allowing for accurate biometric authentication by comparing subsequent EEG readings to the baseline, utilizing cognitive event-related biometric recognition protocols to ensure 100% identification accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional biometric authentication methods are used, then the authentication process is simple and fast, but the reliability and uniqueness of user identification is insufficient
Solution Approach 1:
The patent replaces traditional mechanical/optical biometric systems (fingerprint scanners, facial recognition cameras) with a neurophysiological measurement system using EEG readers. This substitution enables capture of unique neural response patterns that provide higher identification reliability while maintaining system integration through standardized reader interfaces
Solution Approach 2:
The patent shifts the authentication parameter from external physical traits (fingerprints, facial features) to internal neurophysiological parameters (EEG spectral content, event-related potentials). This parameter change enables differentiation of users with similar external biometrics by capturing unique brain response patterns to stimuli
2Measurement precision
If EEG spectral analysis is performed to achieve high identification accuracy, then the measurement precision is improved, but the time required for analysis increases
Solution Approach 1:
The patent performs preliminary EEG baseline assessment during user registration, storing reference spectral patterns and event-related potential responses. During authentication, the system compares new readings against these pre-established baselines using efficient correlation algorithms, reducing real-time analysis requirements while maintaining high identification accuracy
Solution Approach 2:
The patent uses periodic stimulation patterns (visual, auditory, or tactile stimuli presented at regular intervals) to elicit consistent event-related potentials. This periodic action creates reproducible neural response patterns that can be efficiently recognized and compared, reducing analysis time while preserving measurement precision
Data Source
AI summary
Embodiments of the invention are directed to systems, methods, and computer program products for electroencephalogram patterning recognition for user authentication into one or more physical or digital locations. In this way, the system may generate a spectral analysis baseline electroencephalogram reading for a user that can be segmented and analyzed based on a specific time span associated with a known stimulus or event, and diagnostic applications generally focus on either event-related potentials or the like. Upon initiating a request to enter a location requiring authentication, an electroencephalogram reading may be generated and patterned after the baseline electroencephalogram reading for the user. The system may perform patterned recognition of the readings and provide an authentication confidence of the user for authentication into the location.