Emotion Estimation Using Subject-Specific Biological Data Association
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Solution Overview
Problem
Existing emotion estimation apparatuses face challenges in accurately estimating emotions due to differences between experiment environments and everyday environments, as well as variations among individuals, leading to potential inaccuracies in emotion estimation.
Innovation Solution
An emotion estimation apparatus and method that acquire and analyze biological information and emotion information from subjects in a preparation space, constructing association information between the two, which is then used to estimate emotions in a similar estimation space, improving accuracy by reducing environmental and individual differences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If emotion data is obtained through experiments with particular stimuli and environmental factors, then a database of association between emotion information and biological information can be constructed, but accurate estimation of emotion becomes impossible due to differences between experiment environments and everyday environments, differences among individuals, or other influences
Solution Approach 1:
The system performs preliminary acquisition of biological information and emotion information from multiple subjects in a preparation space before actual emotion estimation. This preliminary data collection and association construction enables the system to adapt to individual differences and environmental variations, resolving the contradiction between measurement precision and environmental adaptability by preparing subject-specific baseline data in advance
Solution Approach 2:
The system changes the parameter of subject identification by acquiring subject identification information and constructing associations specific to each subject. This allows the emotion estimation to be personalized for each individual, accounting for inter-individual differences while maintaining accurate emotion estimation across diverse populations and environments
2Reliability
If a database is constructed using data from experiments with controlled environmental factors, then association between emotion and biological information can be established, but the estimation accuracy deteriorates when applied to different environments and individuals
Solution Approach 1:
The system applies local quality by constructing emotion-biological information associations specific to each subject rather than using a universal database. By tailoring the association data to each individual's characteristics, the system maintains high reliability for that subject while being adaptable to individual differences across the population
Solution Approach 2:
The system performs preliminary acquisition of subject-specific biological and emotion information to build personalized association databases before actual emotion estimation. This preliminary personalization ensures reliable estimation for each individual while adapting to their unique characteristics
Data Source
AI summary
An emotion estimation apparatus includes preparation biological information acquisition circuitry acquires, separately from subjects who are in a preparation space, first biological information indicating a physical state of each subject and analyzes the first biological information, preparation emotion information acquisition circuitry acquires emotion information indicating an emotion of each of the subjects, association construction circuitry constructs association information in which the first biological information and the emotion information corresponding to the first biological information are associated with each other, estimation biological information acquisition circuitry acquires second biological information indicating a physical state of any one subject of the subjects who is present in an estimation space, estimation circuitry extracts the emotion information associated in the association information with the first biological information that is equal to the second biological information, and estimate an emotion of the one subject according to the emotion information thus extracted.