Subject-Independent Odor Pleasantness Classification Using Brain and Peripheral Signals

Enhanced sensation of reality from multimedia contents can be achieved by creating realistic multimedia environments, using visual, auditory, and olfactory information. Although the affective information from video and audio has been extensively studied, the olfactory sense has received less attenti...

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Bibliographic Details
Published in:IEEE transactions on affective computing 2016-10, Vol.7 (4), p.422-434
Main Authors: Kroupi, Eleni, Vesin, Jean-Marc, Ebrahimi, Touradj
Format: Article
Language:English
Subjects:
Brain
Brain models
Classification
EEG
Electrocardiography
Electrodes
Electroencephalography
fusion
Heart rate variability
Multimedia
Multimedia communication
odor pleasantness
Odors
Olfactory
Olfactory perception
Wasserstein distance
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Summary:Enhanced sensation of reality from multimedia contents can be achieved by creating realistic multimedia environments, using visual, auditory, and olfactory information. Although the affective information from video and audio has been extensively studied, the olfactory sense has received less attention. A way to assess human experience from audio, video or odors, is by investigating physiological signals. In this study, 23 subjects experienced pleasant, unpleasant, and neutral odors while their electroencephalogram (EEG), and electrocardiogram (ECG) were recorded. Two independent three-class classifiers were trained and tested, using EEG or ECG features. The results reveal a significant increase in the classification performance when EEG features were used (Cohen's kappa k = 0.44 ± 0.14; p
ISSN:1949-3045
1949-3045
DOI:10.1109/TAFFC.2015.2496310