EEG Disappointment Judgment Using Adaptive Event-Related Potential Standards
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Solution Overview
Problem
Existing methods for detecting disappointment signals in event-related potentials face challenges in accuracy due to variations in signal amplitude and latency across repeated trials, making it difficult to accurately judge user disappointment when the signal component varies.
Innovation Solution
A service providing system that measures event-related potentials and adjusts judgment standards based on the number of occurrences of the specific event-related potential, using a judgment standard storage section to select appropriate standards for judging presence or absence, thereby increasing accuracy in disappointment judgment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single template is used for disappointment judgment, then the device complexity is reduced, but the measurement precision deteriorates when the signal varies across repeated trials
Solution Approach 1:
The patent applies dynamics by making the judgment standard adaptable rather than fixed. The system dynamically selects or adjusts templates based on the number of times disappointment has occurred, allowing the judgment criterion to evolve with repeated measurements. This resolves the contradiction by enabling accurate measurement across varying signal conditions without requiring an overly complex predefined structure.
Solution Approach 2:
The patent changes the parameters of the judgment standard (template characteristics) based on the occurrence frequency of disappointment. By adjusting template parameters such as amplitude thresholds or temporal windows according to repeated trial data, the system maintains high measurement precision while avoiding the need for completely complex multiple-template structures.
2Measurement precision
If multiple judgment standards are stored to account for signal variations, then the measurement precision is improved, but the device complexity increases
Solution Approach 1:
The patent segments the judgment standard into a base template and adjustment components. Instead of storing entirely separate multiple templates, the system divides the judgment methodology into a fundamental template structure and trial-specific modification parameters, reducing overall complexity while maintaining precision.
Solution Approach 2:
The patent performs preliminary actions by pre-establishing a base template and pre-defining adjustment rules for repeated trials. This preliminary preparation allows the system to handle signal variations efficiently during actual operation without requiring complex real-time processing of multiple full templates.
3Measurement precision
If noise reduction methods are applied to extract signal components, then the measurement precision is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The patent employs feedback by using the results of repeated disappointment measurements to refine and adjust the template for future judgments. This feedback mechanism improves signal component extraction accuracy over time while simplifying the detection process, as the system learns from previous trials rather than requiring increasingly complex noise reduction algorithms.
Data Source
AI summary
A judgment section (200) judges the presence or absence of a specific event-related potential in an event-related potential of user's (50) electroencephalogram measured by a biological signal detection section (101). A judgment standard storage section (203) stores a plurality of judgment standards according to the number of occurrences of the specific event-related potential. A user's state judging section (201) obtains the number of occurrences of the specific event-related potential by referring to a judgment result storage section (20) and selects any of the judgment standards in the judgment standard storage section (203) according to the obtained number of occurrences thereof for judgment.