Abnormal physical condition determination system, abnormal physical condition determination method, and computer program
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Solution Overview
Problem
Existing systems for determining the abnormal physical condition of a target person, such as motion sickness, face challenges in accuracy due to environmental variations like individual differences and lighting conditions.
Innovation Solution
An abnormal physical condition determination system that extracts feature quantities from images of the target person, accumulates these as time series data, calculates relationships between the features, and determines abnormal conditions based on these relationships.
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 preprocessing
Solution Approach 2:
The system changes parameters by transitioning from using single feature quantities directly to calculating relationships between multiple feature quantities. This parameter transformation enables the system to overcome environmental variations by considering multiple dimensions of data, thus 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 serves as a preliminary action that prepares structured information for subsequent relationship calculation. This preprocessing step organizes data in a manageable format, enabling accurate determination while controlling processing complexity through systematic data preparation
Solution Approach 2:
The system uses feedback by continuously accumulating feature quantities over time and recalculating relationships between them. This iterative process allows the system to refine its determination based on accumulated evidence, improving accuracy while managing complexity through progressive refinement rather than complex one-step processing
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.