Neurometric Authentication for Secure Brain-Computer Commands
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Solution Overview
Problem
Existing brain-computer interface technologies face challenges in efficiently converting neurological impulses into actionable commands for device control and ensuring secure authentication.
Innovation Solution
A computing device equipped with sensors and ASIC chips processes neurological impulses, converts them into a different domain using techniques like FFT or Riemannian Geometry, and uses deep neural networks or SVMs to classify and authenticate commands, generating tokens for secure device operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If brain-computer interface technologies are used to convert neurological impulses into device commands, then device control capability is improved, but system complexity and security vulnerability increase
Solution Approach 1:
The patent introduces an intermediary authentication system between the neurological impulse detection and device command execution. The system uses neurometric data authentication to verify the legitimacy of commands before execution, acting as a mediator that adds security without requiring complex changes to the core BCI operation. This intermediary layer handles security verification separately, maintaining the simplicity of the basic BCI control while adding robust authentication.
2Device complexity
If traditional authentication methods are used in brain-computer interfaces, then system simplicity is maintained, but security and reliability deteriorate
Solution Approach 1:
The patent changes the authentication parameter from traditional methods (passwords, PINs) to neurometric parameters derived from neurological impulses. By using biologically unique neural patterns as authentication credentials, the system achieves higher security and reliability while maintaining simplicity. The neurometric authentication leverages the inherent complexity of individual neural patterns, providing strong security without requiring users to remember complex passwords or undergo complicated authentication procedures.
Data Source
AI summary
A computing device includes at least one sensor configured to generate voltage signals indicative of a measured neurological impulse and one or more application specific integrated circuit (ASIC) chips connected to the at least one sensor. The one or more ASIC chips configured to determine at least one command for operating a device based on the measured neurological impulse and to transmit the at least one command to the device.