Brainwave Authentication Discrimination Score Processing
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Solution Overview
Problem
Existing brain wave authentication methods face challenges in achieving high accuracy and confidentiality due to large noise levels, low probability of correct answers, and long determination times, making them unsuitable for practical biometric applications, especially for persons with disabilities.
Innovation Solution
A brain wave authentication system that uses an electroencephalograph to measure brain waves in response to stimulus events, determining a discrimination score based on a pre-accumulated discrimination model, allowing for accurate identification of authentication candidates through a comparison of decoding accuracy and discrimination scores, optimized for cognitive tasks such as figure or position discrimination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If brain wave authentication is used to eliminate passwords and improve security, then authentication reliability is improved, but measurement precision deteriorates due to large noise levels in brain wave signals
Solution Approach 1:
The patent segments the brain wave signal analysis into multiple frequency components using Fourier transform, and further segments the authentication process into multiple trial presentations. This segmentation allows the system to extract meaningful authentication features from noisy brain wave signals by analyzing different frequency bands separately and aggregating results across multiple trials, thereby improving measurement precision while maintaining authentication reliability.
Solution Approach 2:
The patent performs preliminary action by pre-calculating and storing authentication templates for multiple users before actual authentication occurs. During authentication, the system compares real-time brain wave measurements against these pre-prepared templates, which reduces the computational burden and improves measurement precision by using established reference data rather than performing complex analyses during the authentication moment itself.
2Measurement precision
If brain wave analysis is performed to achieve accurate authentication, then authentication accuracy is improved, but determination time increases making the system impractical
Solution Approach 1:
The patent applies partial action by performing authentication based on a subset of frequency components and a limited number of trial presentations rather than analyzing all possible brain wave parameters. The system determines authentication results when a predetermined number of trials are completed or when confidence thresholds are met, avoiding excessive analysis time while maintaining sufficient authentication accuracy through selective measurement of the most discriminative features.
Solution Approach 2:
By pre-calculating authentication templates and storing them in advance, the system eliminates the need to perform complex full-spectrum brain wave analysis during the actual authentication moment. This preliminary preparation reduces determination time significantly while maintaining high authentication accuracy through efficient comparison against pre-processed reference data.
3Measurement precision
If multiple trial presentations are used to improve authentication accuracy, then measurement precision is improved, but loss of time increases due to repeated presentations
Solution Approach 1:
The system performs a predetermined but limited number of trial presentations rather than continuing until perfect accuracy is achieved. This partial action approach balances authentication accuracy with time efficiency by stopping the trial process when sufficient confidence is obtained, preventing excessive time loss while maintaining measurement precision through multiple but not unlimited trials.
Solution Approach 2:
The system incorporates feedback mechanisms that monitor the quality and consistency of brain wave responses across trials. When authentication confidence reaches predetermined thresholds or when response patterns become sufficiently consistent, the system terminates further trials automatically. This feedback-controlled approach optimizes the balance between authentication accuracy and time consumption by adapting the number of trials needed based on real-time measurement quality.
Data Source
AI summary
Provided are a highly confidential personal authentication device which uses brain waves, a personal authentication method, and a personal authentication system and program. The authentication device using brain waves is provided with: an electroencephalograph; and a processing unit which, with respect to brain waves with respect to a plurality of stimulus events obtained by the electroencephalograph, determines a discrimination score according to a discrimination model for estimating brain information for each authentication candidate accumulated in advance, based on a discrimination-model-to-discrimination-model comparison of the discrimination score, identifies and authenticates an authentication candidate who provided the model. The identifying of the authentication candidate based on the discrimination score in the processing unit is based on the discrimination score and/or decoding accuracy determined from the discrimination score.