AI Metaverse CBT System for EEG-Based Emotion Diagnosis

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Solution Overview

Problem

Conventional EEG test methods face challenges in interpreting results due to subjective factors and the difficulty in recognizing and treating emotions in real-time, leading to reduced reliability and missed treatment opportunities.

Innovation Solution

An apparatus using an AI control module in a metaverse space that measures EEG signals, processes them with wavelet transformation and power spectrum analysis, and generates emotion-tailored virtual content for cognitive behavioral therapy, allowing for objective emotional data generation and treatment without actual exposure.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional EEG test methods are used to measure and interpret emotional states, then EEG signals can be obtained, but the reliability of diagnosis is lowered due to subjective determination of interpretation

Engineering Contradiction:

Improvediagnosis reliabilityVSAvoidinterpretation complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent replaces the manual, subjective interpretation process with an automated AI-based system that uses wavelet transformation and power spectrum analysis to objectively determine emotional states from EEG signals, eliminating human subjectivity while maintaining diagnostic reliability

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service by allowing users to receive automated emotional analysis and CBT treatment recommendations without requiring professional interpretation, with the AI system independently processing EEG data and generating treatment plans

Inventive Principle:

Principle #25Self-service

2Measurement precision

If EEG signals are measured continuously to capture emotional states, then emotional data can be collected, but it is difficult to directly find a stable state in a long-term EEG record

Engineering Contradiction:

Improveemotional state detection accuracyVSAvoidtime to analyze EEG records

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent applies preliminary action by preprocessing EEG signals through wavelet transformation and power spectrum analysis before emotional state determination, organizing the data in advance to enable rapid identification of stable emotional states without manual searching through long-term records

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system replaces manual visual inspection of long-term EEG records with automated AI analysis that processes continuous signals in real-time, significantly reducing the time required to identify stable emotional states while improving measurement precision

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If conventional EEG analysis methods are used, then emotional states can be identified, but there is no apparatus that can recognize a user's emotion at the corresponding spot and treat the emotion in real-time

Engineering Contradiction:

Improvetreatment efficiencyVSAvoidsystem integration complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent merges multiple functions into a single integrated system that combines EEG signal acquisition, wavelet transformation, power spectrum analysis, emotional state recognition, and CBT treatment delivery, enabling real-time recognition and treatment of emotions without requiring separate systems for each function

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The system implements feedback by continuously monitoring EEG signals, real-time determining emotional states, and immediately adjusting CBT treatment content based on the user's current emotional condition, creating a closed-loop system that adapts treatment dynamically

Inventive Principle:

Principle #23Feedback

4Reliability

If subjective evaluation methods are used for psychological assessment, then emotional states can be assessed, but subjective factors may have a lot of influence on interpretation

Engineering Contradiction:

Improveassessment reliabilityVSAvoidoperation simplicity

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The patent replaces subjective human evaluation with automated AI-based analysis that objectively determines emotional states from physiological signals, eliminating the influence of subjective factors while maintaining operational simplicity through automated processing

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS11759136B2Apparatus and method for generating 1:1 emotion-tailored cognitive behavioral therapy in meta verse space through artificial intelligence control module for emotion-tailored cognitive behavioral therapy

Publication Date: 2023.09.19 SONG YEWON

AI summary

Disclosed herein are an apparatus and method for generating 1:1 emotion-tailored cognitive behavioral therapy in a metaverse space through an artificial intelligence (AI) control module for emotion-tailored cognitive behavioral therapy (CBT) that can measure electroencephalogram (EEG) signals when a user views and feels a metaverse virtual space and can generate metaverse virtual space content for 1:1 emotion-tailored cognitive behavioral therapy in the metaverse virtual space based on the emotional state (joy, fear, sadness, pleasure, anger, disgust, or depression) of the measured EEG signals.