Odor Data Visualization Using Reference Correlation Index
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Solution Overview
Problem
Existing methods for visualizing odors struggle to accurately express the odor within a limited range of words, making it difficult for individuals to easily recognize and identify odor determinations.
Innovation Solution
An information processing method that acquires odor data from sensors, specifies correlations between the target data and reference data based on predetermined reference odors, and presents odor information visually using the reference data as an index.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If odor data is visualized using a limited range of words, then the complexity of the system is reduced, but the precision of odor expression deteriorates
Solution Approach 1:
The patent segments the complex odor data into multiple dimensions including basic odor characteristics, intensity levels, and temporal patterns. By dividing the odor information into structured components, the system can process and visualize comprehensive odor data without requiring a complete expansion of the word vocabulary, thus maintaining system simplicity while improving expression precision.
Solution Approach 2:
The patent introduces temporal dimension by visualizing odor data across different time points and adds spatial dimension through graphical representations. This multi-dimensional visualization approach allows the system to convey complex odor information using the existing vocabulary range, resolving the contradiction between limited words and precise expression.
2Measurement precision
If comprehensive odor data is visualized, then the precision of odor identification is improved, but the ease of recognition deteriorates
Solution Approach 1:
The patent applies local quality by highlighting specific odor characteristics that are most relevant to the evaluation context. Rather than presenting all odor data uniformly, the system emphasizes key features locally within the visualization, allowing users to quickly grasp essential information while maintaining access to comprehensive data for precise identification.
Solution Approach 2:
The patent inverts the traditional approach by having the system automatically interpret and structure the odor data according to predefined categories and relationships, rather than requiring users to manually analyze raw data. This inversion of the analysis burden from user to system enables comprehensive visualization that remains easy to recognize through intuitive graphical presentations.
Data Source
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AI summary
[Problem] To provide an information processing method, an information processing system, an information processing device, and a program that allow a person to easily recognize a result of determining or identifying a smell. [Solution] According to an aspect of the present invention, an information processing method performed by an information processing system is provided. This information processing method includes a first acquisition step, a determination step, and a presentation step. In the first acquisition step, target data is acquired. The target data is smell data detected by a sensor from an evaluation target. In the determination step, a correlation between the target data and at least part of reference data is determined. The reference data is smell data based on a plurality of predefined reference smells. In the presentation step, smell information is presented. The smell information is information obtained by visualizing, on the basis of the correlation, the target data by using, as an index, reference data for which the correlation has been determined.