EEG Login Authentication via Dynamic Visual Stimuli
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Solution Overview
Problem
Existing login methods rely on fixed biometric information or passwords, which are vulnerable to theft and compromise user account security.
Innovation Solution
A login method and apparatus utilizing Electroencephalogram (EEG) signals generated by users in response to dynamic information, where these signals are matched against pre-stored EEG signals in a login authentication library to authenticate users, enhancing security with dynamic and disposable login credentials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional passwords are used for login, then ease of operation is improved, but security is worsened due to risk of password theft
Solution Approach 1:
The patent replaces traditional mechanical/password-based authentication systems with a physiological signal-based system. Specifically, it uses electroencephalogram (EEG) signals and other biometric data (gaze tracking, facial recognition, voice recognition) to authenticate users, substituting the manual password entry mechanism with automatic physiological measurement and comparison.
2Ease of operation
If fixed biometric information is used for login, then ease of operation is improved, but security is worsened due to vulnerability to theft and compromise
Solution Approach 1:
The patent transitions from static, fixed biometric authentication to dynamic, multi-factor physiological authentication. Instead of relying on a single unchanging biometric trait, the system continuously measures multiple physiological parameters (EEG signals, gaze patterns, facial expressions, voice characteristics) that vary over time and combine them to create a dynamic authentication profile that is much harder to steal or compromise.
3Reliability
If EEG-based authentication is implemented, then security is improved through dynamic credentials, but device complexity is worsened due to monitoring equipment requirements
Solution Approach 1:
The patent employs a multi-functional authentication system where a single integrated platform performs multiple authentication tasks using different physiological modalities. The system can use EEG signals, gaze tracking, facial recognition, and voice recognition interchangeably or in combination, allowing the same device to adapt to different authentication scenarios and reducing the need for multiple specialized devices.
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
The EEG-based login method provides a more secure, private, and user-friendly authentication process by using unique and dynamic brain signals, reducing the risk of password theft and improving login security.
Implementation Method 1
receiving a Electroencephalogram (EEG) signal that is generated by the user based on the displayed dynamic information and that is monitored by a monitoring device
Data Source
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AI summary
Implementations in this specification provide a login method and apparatus, and an electronic device. The method includes: displaying dynamic information for login to a user; receiving an EEG signal that is generated by the user based on the displayed dynamic information and that is monitored by a monitoring device; matching the monitored EEG signal with an EEG signal that corresponds to the dynamic information in a login authentication library, where EEG signals generated by users based on various dynamic information are stored in the login authentication library; and logging in when the monitored EEG signal successfully matches the EEG signal that corresponds to the dynamic information in the login authentication library.