EEG Interface Correction Apparatus for Determination Error
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Solution Overview
Problem
Electroencephalogram (EEG) signals are prone to noise and fluctuations, leading to inaccurate user intent distinction in EEG interfaces, resulting in incorrect device manipulations and the need for subsidiary options like 'Back' and 'Cancel' for correction.
Innovation Solution
An EEG interface system with a correction apparatus that measures and analyzes EEG signals to detect determination errors using event-related potentials, specifically utilizing a determination section to assess correctness based on waveforms near 600 milliseconds and a correction section to adjust options based on pre-inference EEG information, allowing for automatic correction of inferred options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If EEG signals are used to distinguish user intent, then hands-free device manipulation is enabled, but measurement precision deteriorates due to noise and fluctuations in EEG signals
Solution Approach 1:
The system measures EEG signals after option presentation, uses the determination section to evaluate whether the inferred option is correct based on the measured signals, and feeds this correctness information back to the correction section which adjusts the inferred option accordingly. This closed-loop feedback mechanism continuously refines the accuracy of user intent detection while maintaining hands-free operation.
Solution Approach 2:
The correction section stores EEG signals measured before option inference in advance. When the determination section identifies an incorrect inference, the correction section utilizes these pre-stored signals to perform correction, avoiding the need to re-collect EEG data and enabling faster correction of detection errors.
2Reliability
If subsidiary options like 'Back' and 'Cancel' are provided for correction, then reliability of device manipulation is improved, but device complexity increases
Solution Approach 1:
The system employs an automatic correction mechanism where the determination section autonomously evaluates the correctness of inferred options and the correction section automatically adjusts incorrect inferences using stored EEG signals. This self-correcting system eliminates the need for manual intervention through subsidiary options, thereby maintaining reliability while reducing interface complexity.
3Productivity
If automatic correction is implemented using EEG signals, then productivity of EEG interface is improved, but device complexity increases due to additional determination and correction sections
Solution Approach 1:
The determination section and correction section are integrated into the existing EEG interface system, working in conjunction with the biological signal measurement section and option inference section. This merging approach allows automatic correction functionality to be added without requiring completely separate systems, thereby improving productivity while managing device complexity through unified architecture.
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 system reduces the need for re-manipulation by automatically correcting incorrect user intent determinations, enhancing the accuracy and efficiency of EEG interface usage.
Implementation Method 1
a biological signal measurement section for measuring and storing an electroencephalogram signal of a user
Implementation Method 2
an electroencephalogram analysis section for analyzing an event-related potential contained in the electroencephalogram signal
Data Source
AI summary
An option which is considered to be desired by a user is determined by using an electroencephalogram interface (IF), and a determination error for the option is detected based on an electroencephalogram. If a determination error is detected, the option is corrected based on the electroencephalogram information which was used for the option determination.A correction apparatus to be incorporated in an electroencephalogram IF system is provided. The electroencephalogram IF system includes a biological signal measurement section, an analysis section for analyzing an event-related potential contained in an electroencephalogram signal of a user, an inference section for inferring an option desired by the user based on a result of analysis, and an output section for presenting the option inferred by the inference section to the user. The biological signal measurement section measures the electroencephalogram signal of the user based on a point of presenting the option to the user as a starting point. The correction apparatus includes: a determination section for determining correctness of the inferred option based on an event-related potential contained in an electroencephalogram signal acquired after inference of the option; and a correction section for, when the inferred option is determined to be incorrect, correcting the inferred option based on the event-related potential before inference of the option and designating a device operation based on the option after correction.