A Perception-Driven Framework for Predicting Missing Odor Perceptual Ratings and an Exploration of Odor Perceptual Space
There have been abundant research efforts on predicting verbal descriptions of odorants through the physicochemical features, physiological signals and E-nose signals. These approaches are interpreted as feature-driven methods in which the information about the inner links among different odor perce...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8990097/ |