BCI Imagined Speech Conversation Intention Recognition

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Solution Overview

Problem

Conventional brain-computer interface systems rely on external stimuli or motion imagination to recognize user intentions, which are inefficient and lack intuitive features, failing to accurately convey conversation intentions in a timely and reliable manner.

Innovation Solution

A method and system that utilize brainwaves from imagined speech to generate and output conversation sentences by selecting and combining candidate words based on learned decoding models, allowing users to communicate through thought alone without external stimuli.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional brain-computer interface systems use external stimuli or motion imagination to recognize user intentions, then the system can operate with existing methods, but the recognition accuracy and intuitiveness of conversation intentions deteriorates

Engineering Contradiction:

Improveconversation intention recognition accuracyVSAvoidintuitiveness of communication

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The patent replaces conventional external stimulus-based or motion imagination-based brain-computer interface methods with a new approach that directly measures brainwaves during imagined speech. This substitution of the underlying mechanism enables more accurate and intuitive conversation intention recognition by capturing neural patterns specific to speech generation rather than generic motor imagery or stimulus-response patterns.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent changes the measurement parameters from general brainwave patterns during external stimulus or motion imagination to specific brainwave characteristics during imagined speech. By focusing on neural patterns associated with actual speech production, the system achieves higher recognition accuracy and intuitiveness for conversation intentions.

Inventive Principle:

Principle #35Parameter changes

2Productivity

If conventional brain-computer interface systems use existing methods to recognize user intentions, then the system structure remains simple, but the speed and reliability of conversation intention recognition deteriorates

Engineering Contradiction:

Improvespeed of conversation intention recognitionVSAvoidreliability of intention recognition

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent replaces conventional intention recognition methods with imagined speech-based brainwave measurement, which captures neural patterns directly related to speech generation. This substitution simultaneously improves recognition speed by focusing on speech-specific neural pathways and enhances reliability by using more discriminative brainwave features.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Ease of operation

If conventional brain-computer interface systems use motion imagination or external stimuli, then the method can be implemented with current technology, but the intuitiveness and naturalness of communication deteriorates

Engineering Contradiction:

Improveintuitiveness of communicationVSAvoidsystem implementation complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The patent substitutes conventional external stimulus or motion imagination methods with direct measurement of imagined speech brainwaves. This replacement enhances communication intuitiveness by aligning the input method with natural speech production processes, while the complexity increase is managed through focused measurement of speech-specific neural patterns.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

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 approach enhances the accuracy and speed of conversation intention recognition, providing intuitive communication by inferring intended words from imagined speech brainwaves, improving reliability and enabling faster sentence completion in both text and voice formats.

Implementation Method 1

a sensor module for detecting a brainwave of the user

Methodology Applied

Scientific EffectBrainwave detection:

Data Source

PatentUS11687157B2Brain-computer interface system and method for recognizing conversation intention of user using the same

Publication Date: 2023.06.27 KOREA UNIV RES & BUSINESS FOUND

AI summary

The present invention relates to a brain-computer interface system and a method for recognizing a conversation intention of a user using the same in addition to inferring the waveform of word sound intended by a user from an imagined speech brainwave associated with a word intended by a user, since the user can intuitively recognize the sentence he/she wants to speak through the imagined speech by classifying words that are most relevant to the imagined speech brainwave of the user in a database in which a word often used by the user or frequently used in a specific situation is stored and by generating a sentence intended by the user by recognizing the words classified in this way, it is possible to perform communication by only thoughts of the user.