Brain Wave Mobility Authentication Using Image-Evoked EEG Patterns
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Solution Overview
Problem
Current mobility authentication methods lack secure and user-friendly solutions for verifying the identity of drivers, particularly in the context of emerging autonomous driving systems, where traditional methods may be inadequate for ensuring safety and preventing unauthorized access.
Innovation Solution
A brain wave signal-based authentication system that uses a receiver to detect user input, displays a preset image list, and collects brain wave signals from passengers to authenticate them by analyzing similarities with pre-stored patterns, utilizing EEG features to determine authentication through image characteristics and relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods are used, then the system is simple to implement, but the security and reliability are insufficient
Solution Approach 1:
The patent replaces traditional mechanical authentication systems (keyboards, buttons, physical keys) with a brain-computer interface that directly measures brain wave signals. This substitution enables more secure authentication through unique neural patterns while reducing the need for complex physical authentication devices, as the brain wave signals themselves serve as the authentication mechanism.
Solution Approach 2:
The patent introduces an image list as an intermediary stimulus between the user and the brain wave measurement system. These images serve as triggers that elicit specific brain wave responses, allowing the system to capture authentication-relevant neural activity in a natural, non-intrusive manner while the user engages with visually appealing content.
2Reliability
If brain wave signals are used for authentication, then security and user-specific verification are improved, but the device complexity and measurement difficulty increase
Solution Approach 1:
The patent implements a self-service authentication system where the user's own brain wave responses to images serve as the authentication credential. The system automatically captures, analyzes, and verifies the user's neural responses without requiring manual input or external assistance, making the measurement process seamless and user-friendly despite the complexity of brain wave detection.
Solution Approach 2:
The patent changes the measurement parameters by focusing on specific brain wave frequency bands and temporal patterns that are most distinctive for authentication. Rather than attempting to measure all aspects of brain activity, the system identifies and measures key parameters such as event-related potentials and frequency-specific responses to image stimuli, simplifying the measurement process while maintaining high authentication accuracy.
3Reliability
If multiple images with different characteristics are displayed, then authentication reliability is improved, but the time required for authentication increases
Solution Approach 1:
The patent employs periodic display of multiple images with different characteristics to elicit a series of brain wave responses. By presenting images in a structured sequence and measuring responses at regular intervals, the system accumulates authentication data efficiently. This periodic approach allows the system to gather robust authentication information across multiple stimuli while maintaining a controlled authentication timeline.
Solution Approach 2:
The patent uses a set of images with varying characteristics (some more relevant than others) to ensure authentication reliability. Rather than requiring all images to be equally informative, the system uses multiple images where even partial responses contribute to the overall authentication decision, allowing robust verification without requiring exhaustive measurement of every possible stimulus response.
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 method provides a secure, user-specific, and low-falsification authentication process, enhancing the safety and security of mobility systems by ensuring only authorized individuals can operate the vehicle.
Implementation Method 1
a sensor for collecting a brain wave signal for the passenger for a predetermined time as a response to the displayed image list
Implementation Method 2
ERP (Event-Related Potential) is closely related to cognitive functions
Data Source
AI summary
A mobility user authentication apparatus using a brain wave signal includes a receiver configured to receive a predetermined user input from a passenger of a mobility, a display configured to display a preset image list to the passenger on a predetermined area in the mobility based on the received user input, as a response to the displayed image list, a sensor configured to collect a brain wave signal for the passenger for a predetermined time, and a controller configured to perform authentication for the passenger by analyzing the collected brain wave signal.