Abnormal physical condition determination system, abnormal physical condition determination method, and computer program
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Solution Overview
Problem
Existing systems for determining a target person's condition, such as motion sickness, are affected by environmental variations like individual differences and lighting conditions, leading to reduced accuracy in condition determination.
Innovation Solution
An abnormal physical condition determination system that extracts feature quantities from images, accumulates them as time series data, calculates relationships between these features, and determines the condition based on these relationships, thereby reducing the impact of environmental variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If feature quantities are directly utilized to determine the condition of the target person, then the determination process is simple, but the accuracy is reduced due to environmental variations such as individual differences and lighting conditions
Solution Approach 1:
The system performs preliminary actions by accumulating feature quantities as time series data before making a determination. This allows the system to gather sufficient information over time and calculate relationships between multiple feature quantities, thereby improving determination accuracy while managing complexity through structured data preparation
Solution Approach 2:
The system transitions from using single feature quantities to calculating relationships between multiple feature quantities. This dimensional expansion from individual features to inter-feature relationships enables the system to distinguish actual condition changes from environmental variations, improving accuracy without excessive complexity increase
2Measurement precision
If multiple feature quantities are accumulated as time series data and relationships are calculated, then the determination accuracy is improved, but the processing complexity increases
Solution Approach 1:
The accumulation of feature quantities as time series data is performed as a preliminary action before the actual determination. This structured approach organizes data in advance, making subsequent relationship calculations more manageable and reducing the complexity burden during the critical determination phase
Solution Approach 2:
The system uses accumulated time series data to calculate relationships between feature quantities, creating a feedback mechanism that continuously refines the determination accuracy. This feedback loop allows the system to learn from historical data patterns while maintaining manageable processing complexity through iterative improvement
Data Source
AI summary
An abnormal physical condition determination system includes: an extraction unit that extracts a plurality of feature quantities indicating a condition of a target person from an image of the target person; an accumulation unit that accumulates the plurality of feature quantities as time series data; a calculation unit that calculates a relationship between each feature quantity from the plurality of feature quantities accumulated in the accumulation unit; and a determination unit that determines an abnormal physical condition of the target person on the basis of the relationship. According to such an abnormal physical condition determination system, it is possible to appropriately determine the abnormal physical condition of the target person.