Brain Wave Detection Control Device for EEG Artifact Reduction
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Solution Overview
Problem
Electroencephalogram measurements are hindered by large artifacts due to head myoelectric potential, limiting the usage scenarios and requiring a more convenient electroencephalogram input user interface.
Innovation Solution
A control device and method that detect brain waves and user actions through biometric signals, using a detection unit and processing unit to perform specific processes based on predetermined actions, such as eye closure or imagining specific objects, to enhance electroencephalogram personal authentication and input methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If electroencephalogram measurement is performed, then brain wave detection capability is achieved, but large artifacts due to head myoelectric potential occur
Solution Approach 1:
The patent segments the detection process into two independent parts: (1) detecting user actions through biometric signals other than brain waves (such as eye closure, blinking, or jaw movement detected by cameras or sensors), and (2) detecting brain waves only when the predetermined user action is recognized. This segmentation allows the system to trigger brain wave detection only when needed, reducing the impact of myoelectric artifacts while maintaining authentication capability.
Solution Approach 2:
The system performs preliminary detection of user actions (such as eye closure or specific head movements) before initiating brain wave detection. By detecting the user action first through other biometric signals, the system prepares the authentication process and triggers brain wave detection only at the appropriate moment, thereby reducing artifacts from continuous myoelectric activity.
2Reliability
If brain wave detection is continuously performed, then authentication accuracy is improved, but usage scene limitations increase due to artifact interference
Solution Approach 1:
The patent implements a dynamic detection strategy where the system continuously monitors biometric signals for user actions, and only activates brain wave detection when a predetermined user action is detected. This dynamic approach allows the system to adapt to different usage scenarios by triggering authentication only when the user intentionally performs the designated action, thereby improving both reliability and adaptability across various usage scenes.
Solution Approach 2:
The system uses the user's own voluntary actions (such as closing eyes or specific head movements) as triggers to initiate the brain wave detection process. This self-service mechanism ensures that authentication is activated only when the user intends to perform it, reducing false positives from artifacts while maintaining high authentication accuracy through user-initiated detection.
3Speed
If brain wave detection is performed without user action verification, then processing speed is improved, but system reliability decreases
Solution Approach 1:
The system performs preliminary verification by detecting user actions through biometric signals before proceeding to brain wave detection. This preliminary check ensures that authentication is triggered only by intentional user actions, thereby maintaining system reliability while keeping the overall processing efficient through selective activation of the more complex brain wave analysis.
Solution Approach 2:
The patent introduces an intermediary step where user actions detected through biometric signals serve as a mediator between the user and the brain wave detection system. This intermediary verification layer ensures that brain wave detection is activated only when appropriate, maintaining both processing speed and system reliability by filtering out inappropriate detection triggers.
Data Source
AI summary
The present technology relates to a control device and a control method capable of providing a more convenient electroencephalogram input user interface.Provided is a control device including a detection unit configured to perform detection of a brain wave included in a measured biometric signal of a user and detection of a user action based on information other than the brain wave included in the biometric signal, and a processing unit configured to perform a predetermined process based on the brain wave in a case where the user action is a predetermined action. For example, the present technology can be applied to a measurement device capable of measuring a brain wave signal.