THE SMELL OF DISEASE

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An automatic classifier of emotions built from entropy of noise

Publication . Ferreira, Jacqueline; Brás, Susana; Silva, Carlos Fernandes da; Soares, Sandra Cristina de Oliveira

The electrocardiogram (ECG) signal has been widely used to study the physiological substrates of emotion. However, searching for better filtering techniques in order to obtain a signal with better quality and with the maximum relevant information remains an important issue for researchers in this field. Signal processing is largely performed for ECG analysis and interpretation, but this process can be susceptible to error in the delineation phase. In addition, it can lead to the loss of important information that is usually considered as noise and, consequently, discarded from the analysis. The goal of this study was to evaluate if the ECG noise allows for the classification of emotions, while using its entropy as an input in a decision tree classifier. We collected the ECG signal from 25 healthy participants while they were presented with videos eliciting negative (fear and disgust) and neutral emotions. The results indicated that the neutral condition showed a perfect identification (100%), whereas the classification of negative emotions indicated good identification performances (60% of sensitivity and 80% of specificity). These results suggest that the entropy of noise contains relevant information that can be useful to improve the analysis of the physiological correlates of emotion.

2016Artigo científico

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Ethnic influences on the perceptual properties of human chemosignals

Publication . Parma, Valentina; Redolfi, Nelly; Alho, Laura; Rocha, Marta; Ferreira, Jacqueline; Silva, Carlos Fernandes da; Soares, Sandra C.

Individuals of African and Caucasian descent show different chemical signatures in their body odors (BO). Does such biological difference have a perceptual correlate? We tested BO donors and raters of Afro-Portuguese (AP) and Caucasian (C) descent to investigate whether olfactory ratings reveal an ethnic bias and whether olfactory ethnic discrimination is possible. C (vs. AP) women rated the C BO as more pleasant, even when controlling for intensity. The C BO labelled as AP was rated as more intense by C raters. Although discriminability of ethnicity and sex is at chance, a nominal advantage for AP vs. C BO emerges.

2019Artigo científico

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Entidade financiadora

Fundação para a Ciência e a Tecnologia

Número da atribuição

SFRH/BD/85376/2012