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Open AccessArticle

Brain and Body Emotional Responses: Multimodal Approximation for Valence Classification

1
The Institute of Bioengineering, University Miguel Hernandez, 03202 Elche, Spain
2
Department of Electronics and Computer Technology, University of Cartagena, 30202 Cartagena, Spain
*
Authors to whom correspondence should be addressed.
Sensors 2020, 20(1), 313; https://doi.org/10.3390/s20010313
Received: 28 November 2019 / Revised: 2 January 2020 / Accepted: 3 January 2020 / Published: 6 January 2020
(This article belongs to the Special Issue Sensors for Affective Computing and Sentiment Analysis)
In order to develop more precise and functional affective applications, it is necessary to achieve a balance between the psychology and the engineering applied to emotions. Signals from the central and peripheral nervous systems have been used for emotion recognition purposes, however, their operation and the relationship between them remains unknown. In this context, in the present work, we have tried to approach the study of the psychobiology of both systems in order to generate a computational model for the recognition of emotions in the dimension of valence. To this end, the electroencephalography (EEG) signal, electrocardiography (ECG) signal and skin temperature of 24 subjects have been studied. Each methodology has been evaluated individually, finding characteristic patterns of positive and negative emotions in each of them. After feature selection of each methodology, the results of the classification showed that, although the classification of emotions is possible at both central and peripheral levels, the multimodal approach did not improve the results obtained through the EEG alone. In addition, differences have been observed between cerebral and peripheral responses in the processing of emotions by separating the sample by sex; though, the differences between men and women were only notable at the peripheral nervous system level. View Full-Text
Keywords: affective valence scale; electroencephalography (EEG); emotions; gender differences; heart rate variability (HRV); skin temperature affective valence scale; electroencephalography (EEG); emotions; gender differences; heart rate variability (HRV); skin temperature
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Sorinas, J.; Ferrández, J.M.; Fernandez, E. Brain and Body Emotional Responses: Multimodal Approximation for Valence Classification. Sensors 2020, 20, 313.

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