Operator State Estimation for Real-Time Operation Appropriateness
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Solution Overview
Problem
Existing methods for determining the appropriateness of an operator's mental state during operations face challenges such as individual differences in biological reactions, stability issues due to varying environments and tasks, and the difficulty of real-time estimation in dynamic operation environments.
Innovation Solution
The system accumulates and associates operator identification information, biological information, operation information, and time information to estimate current biological information based on past correlations between operation loads and biological changes, allowing for real-time determination of operation appropriateness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If biological information is used to determine operator appropriateness, then measurement precision is improved, but reliability deteriorates due to individual differences and environmental variations
Solution Approach 1:
The system performs preliminary learning to establish a baseline relationship between operation information and biological information for each operator before actual monitoring. This preliminary action creates a personalized reference model that accounts for individual differences, enabling more reliable appropriateness determination by comparing current measurements against the operator's own baseline rather than generic thresholds.
Solution Approach 2:
The system changes the parameter of biological information measurement by selecting specific parameters (heart rate, respiration rate, skin conductivity) that are less susceptible to environmental variations. Additionally, the system dynamically adjusts the weighting and combination of multiple biological parameters to compensate for individual differences and improve overall reliability of the determination.
2Measurement precision
If multiple types of information are accumulated and processed, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The signal processing apparatus performs multiple functions using a single integrated system: it accumulates operation information, biological information, and time information; learns the relationship between these parameters; estimates current operator state; and determines appropriateness. This multi-functional approach improves measurement precision while minimizing the increase in device complexity by consolidating functions rather than using separate dedicated systems for each task.
Solution Approach 2:
The system introduces time information as an intermediary parameter that links operation information and biological information. By organizing data temporally and using time-stamped records, the system can correlate events and states without requiring complex real-time synchronization mechanisms, thus improving precision while managing complexity through temporal structuring of the multi-information data.
Data Source
AI summary
An operation appropriateness determination system includes an authentication apparatus that identifies an operator on a basis of a feature of the operator and that outputs information for identifying the operator, a biometric sensing apparatus that obtains biological information regarding the operator and that outputs the biological information, an operation sensing apparatus that detects a load of an operation that is being performed by the operator and that outputs operation information indicating the load of the operation, a storage device, and a signal processing apparatus.