EEG Visual Recognition Measurement Using Prism-Induced Latency Shifts
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Solution Overview
Problem
Current methods for determining whether a subject recognizes a visual image are unreliable due to subjective assessments and vulnerabilities to false results, lacking objective quantification of visual recognition in fields like medicine and security.
Innovation Solution
A system and method using electroencephalography (EEG) to measure Visual Evoked Potentials (VEP) by presenting a series of visual stimuli with a prism, recording EEG signals, and processing them to determine neurotransmission latency shifts between images, providing an objective measure of visual recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If subjective assessment methods (polygraphs, facial expression observation, voice analysis) are used to determine visual image recognition, then the testing process is simple and easy to implement, but the reliability and accuracy of results deteriorate due to subjectivity and vulnerability to false results
Solution Approach 1:
The patent replaces subjective mechanical assessment methods (polygraphs, facial observation, voice analysis) with an objective physiological measurement system using electroencephalography (EEG) to record electrical activity from the brain. This substitution eliminates human subjectivity in evaluating recognition while maintaining operational feasibility through automated EEG signal processing and analysis.
Solution Approach 2:
The patent introduces EEG recording as an intermediary between the subject's visual recognition process and the measurement system. Instead of directly observing behavioral indicators, the system uses EEG signals as an intermediate physiological marker that objectively reflects brain activity associated with visual image recognition, thereby improving reliability without complicating the overall testing procedure.
2Difficulty of detecting and measuring
If conventional EEG recording is used to measure brain activity, then brain activity can be detected, but the ability to determine whether a subject has previous knowledge of an image deteriorates because EEG does not indicate recognition status
Solution Approach 1:
The patent presents the visual image to the subject before recording the EEG signal, establishing a temporal sequence where the stimulus precedes the measurement. This preliminary presentation allows the system to capture the brain's electrophysiological response to the specific image, enabling determination of whether the subject has previous knowledge of that image based on characteristic patterns in the recorded EEG signal.
Solution Approach 2:
The patent uses the recorded EEG signal as feedback to determine recognition status. By analyzing characteristics of the EEG response (such as latency, amplitude, or pattern recognition), the system feeds back information about whether the subject has previous knowledge of the presented image, thereby converting raw brain activity data into meaningful recognition information without losing critical data.
3Measurement precision
If VEP data is used to determine brain function impairment, then changes in vision can be detected, but the ability to assess a subject's prior knowledge of an image deteriorates because VEP does not indicate recognition
Solution Approach 1:
The patent transitions from static VEP measurement (which captures a single snapshot of visual pathway function) to dynamic EEG recording that captures the temporal evolution of brain responses to multiple image presentations. This dynamic approach allows the system to detect not only visual function but also temporal patterns in brain activity that indicate whether the subject has previous knowledge of the image, thereby recovering information that static VEP measurements cannot provide.
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 allows for the objective determination of a subject's previous knowledge of an image, enhancing reliability and accuracy in fields such as security and law enforcement by measuring latency shifts in VEP responses.
Implementation Method 1
Electroencephalography (EEG) measures signals produced by the brain. Electrodes are placed on the scalp, amplified, and recorded.
Implementation Method 2
A Visual evoked potential (VEP) is derived from processed EEG data. VEPs are produced by presenting a visual stimulus to a subject at the same time EEG data is recorded.
Data Source
AI summary
Apparatus, system, and computer readable media determine the probability of visual recognition of an image by a subject using electroencephalography (EEG) corresponding to a Visual Evoked Potential (VEP). The apparatus comprises means for presenting a series of visual stimuli corresponding to said image to evoke EEG signals. The visual stimuli of the image are presented in an orientation sequence based on a timing cycle. At least one prism is provided for placement in front of the series of visual stimuli corresponding to said image. The EEG signals evoked in response to said visual stimuli and said prism placed in front of said visual stimuli are recorded and processed by a processor. VEP is generated corresponding to the presence of a shift and thereby provides object statistic reliability of the visual recognition of the image by the subject.