Subject independent emotion recognition from EEG using VMD and deep learning

• Published in: Journal of King Saud University. Computer and information sciences Vol. 34; no. 5; pp. 1730 - 1738
• Main Authors: Pandey, Pallavi, Seeja, K.R.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.05.2022; Springer
• Subjects: Affective computing; Deep Neural Network; Intrinsic-mode functions; Valence-Arousal model; Variational Mode Decomposition; Affective computing; Deep Neural Network; Variational Mode Decomposition; Valence-Arousal model; Intrinsic-mode functions

Emotion recognition from Electroencephalography (EEG) is proved to be a good choice as it cannot be mimicked like speech signals or facial expressions. EEG signals of emotions are not unique and it varies from person to person as each one has different emotional responses to the same stimuli. Thus E...