Differentiation of dichotomous emotional states in electrodermal activity signals using higher-order crossing features and parametric classifiers

Differentiation of dichotomous emotional states in electrodermal activity signals using higher-order crossing features and parametric classifiers

Prediction and recognition of happy and sad emotional states play important roles in many aspects of human life. In this work, an attempt has been made to classify them using Electrodermal Activity (EDA). For this, EDA signals are obtained from a public database and decomposed into tonic and phasic...

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Bibliographic Details
Main Authors: Ganapathy, N. (Author), Swaminathan, R. (Author), Veeranki, Y.R (Author)
Format: Article
Language:English
Published: International Academic Express 2021
Subjects:
And parametric classifier
And Parametric classifiers
article
Bayesian learning
classifier
controlled study
decomposition
discriminant analysis
Discriminant analysis
Electrodermal activity
Electrodes
emotion
Emotional state
Happy
Higher-order
Higher-order crossing
High-order
High-order crossing
Hjorth
human
Multilayer neural networks
multilayer perceptron
Multilayers
nervous system
Parametric classifier
Sad
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