EEG Pattern Matching for Personal Meaning Extraction
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Solution Overview
Problem
Current methods lack the ability to accurately identify personal meanings and passions of individuals, particularly in cases of communication difficulties or unconscious desires, with limited temporal resolution and invasive procedures.
Innovation Solution
The use of EEG measurement to extract brain activity patterns in response to auditory stimuli, linking these patterns to a database of personal meanings, allowing for the inference of personal passions and desires, even in cases of obscured communication or unconscious awareness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If EEG measurement is used to extract brain activity patterns, then temporal resolution is improved (milliseconds), but measurement precision of personal meaning is insufficient without database comparison
Solution Approach 1:
A database of pre-recorded EEG patterns and their associated personal meanings serves as an intermediary between the raw EEG measurement and the interpretation of personal meaning. The system compares extracted EEG patterns against this database to accurately identify personal passions and desires, resolving the precision issue while maintaining the temporal resolution advantage of EEG
Solution Approach 2:
The system creates copies of EEG patterns from multiple subjects and stores them in a database with their known personal meanings. These pattern copies are then used for comparison against new measurements, enabling accurate personal meaning identification through pattern matching rather than direct interpretation
2Ease of operation
If invasive procedures are avoided, then ease of operation is improved, but ability to measure deep brain activity associated with personal meanings is reduced
Solution Approach 1:
The system makes the EEG measurement universally applicable by developing a comprehensive database that captures various patterns of personal meaning (passion, desire, preference) across different subjects. This allows the same non-invasive EEG technique to reliably measure multiple aspects of deep brain activity related to personal meanings without requiring different invasive procedures for each type of measurement
3Ease of operation
If communication methods are simplified for difficult cases, then ease of operation is improved, but loss of information about true personal meanings increases
Solution Approach 1:
The system replaces the mechanical communication system (verbal or written communication requiring cognitive processing) with a direct neural measurement system. By measuring EEG patterns that directly reflect brain activity associated with personal meanings, the system bypasses the need for communication and eliminates information loss that occurs when unconscious desires must be translated into conscious expressions
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
Enables the identification of personal passions and desires with high temporal resolution, facilitating improved communication, therapy, and self-discovery without the need for invasive procedures.
Implementation Method 1
Event related potentials (ERP) were chosen as the main tool for this non-invasive approach to motivational (emotional) processes in the human brain. ERP are scalp potentials, derived from the EEG (Electro-Encephalo-Graph) by averaging time-locked activity in response to a stimulus.
Data Source
AI summary
The present invention comprises a method and system for identifying personal meaning of an auditory stimulus to the person, such as, but not limited to, passion, using the measurement and processing of EEG and the identification of the presence of specific patterns in the signal.