Academic Paper [Correlation between visualization of odor by odor sensor and sensory test] presented at Workshop on Interactive Systems and Software (WISS 2017) sponsored by Japan Society for Software Science and Technology
Aroma Bit, Inc. released an academic paper titled [Correlation between visualization of odor by odor sensor and sensory test] presented at Workshop on Interactive Systems and Software (WISS 2017) sponsored by Japan Society for Software Science and Technology.
The overview of the paper is as follows.
At our company, an unique odor sensor is being developed using mechanism widely known as e-Nose type sensor. In this study, we discovered that the odor visualization data obtained from odor sensor and human sensory can be linked so translation can be conducted in the form that are easy to comprehend by human.
In this study, by linking the experimental result from human sensory test and pattern of aroma code, the analysis is conducted on the relationship between which particular part of responded aroma code pattern and odor recognition by human.
It is discovered that there is a collation between the visualized data expressing odor associated with fermentation common to cheese and Japanese sake, as well as smell intensity and human sensory, for sensor element responses expressed as aroma code label obtained using the sensor and verbal expressions obtained from human sensory experiments.
URL Link (only in Japanese available)
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