Brain Wave Authentication via Stimulus Response Analysis
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Solution Overview
Problem
Conventional personal authentication methods, such as password-based systems and biometric authentication, face limitations in ensuring high confidentiality and uniqueness, particularly in protecting user privacy.
Innovation Solution
An information processing apparatus that applies a series of stimulations related by a common theme, acquires brain wave levels in response to these stimulations, and sets a personal information determination value based on the differences in brain wave levels, thereby associating the stimulations with unique user information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If password-based authentication is used, then ease of operation is improved, but security and confidentiality deteriorate due to vulnerability to impersonation
Solution Approach 1:
The patent replaces the mechanical/password-based authentication system with a biological measurement system. Instead of relying on passwords that can be guessed or stolen, the system uses EEG brain wave measurements as a biological identifier. The authentication process involves presenting stimuli and measuring the user's brain wave responses, which are difficult to replicate or steal, thereby maintaining ease of use while significantly improving security.
2Reliability
If biometric authentication using fingerprints or faces is used, then security is improved, but privacy protection and uniqueness deteriorate
Solution Approach 1:
The patent changes the measurement parameter from traditional biometric data (fingerprints, facial images) to brain wave patterns measured during stimulus response. This parameter change enables more sophisticated authentication that captures dynamic neural processing rather than static physical traits. The system measures changes in brain wave patterns in response to specific stimuli, creating a more unique and privacy-protecting authentication mechanism that is difficult to replicate or steal.
Solution Approach 2:
The patent introduces brain wave patterns as an intermediary between the user and the authentication system. Instead of directly storing and comparing biometric templates (which creates privacy risks), the system uses brain wave responses as an intermediary measurement that reflects the user's neural state during authentication. This intermediary approach maintains security while better protecting user privacy by working with transient neural patterns rather than permanent biometric data.
3Adaptability or versatility
If three-dimensional brain cortex information is acquired from brain images, then personal characteristic prediction is possible, but uniqueness and accuracy of user information acquisition deteriorate
Solution Approach 1:
The patent employs continuous measurement of brain wave patterns throughout the authentication process rather than relying on a single static brain image. The system continuously monitors neural responses as stimuli are presented and measures changes in brain wave patterns over time. This continuous action captures the dynamic processing of information and creates a more accurate and unique authentication profile that reflects the user's actual cognitive processing during the authentication task.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system presents stimuli, measures brain wave responses, and uses this information to verify user identity. The system compares the measured brain wave patterns against stored reference patterns and provides feedback on authentication status. This feedback loop enables continuous refinement of the authentication process and improves accuracy by validating user identity through active neural response rather than passive imaging.
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
This approach allows for the acquisition of information unique to the user with high accuracy, enhancing personal identification and ensuring improved confidentiality by leveraging the individual differences in brain wave responses to specific stimuli.
Implementation Method 1
a biological information acquisition unit configured to acquire a brain wave level for the plurality of stimulations applied by the stimulation unit
Data Source
AI summary
A stimulation unit that applies a plurality of stimulations having first relationship, a biological information acquisition unit that acquires a brain wave level for the plurality of stimulations applied by the stimulation unit, and a personal information setting unit that sets, as a personal information determination value, first personal information associating the plurality of stimulations having the first relationship that has been applied by the stimulation unit, and a difference value of a plurality of brain wave levels acquired by the biological information acquisition unit at this time are included.


