Investigating the Use of Pretrained Convolutional Neural Network on Cross-Subject and Cross-Dataset EEG Emotion Recognition

Investigating the Use of Pretrained Convolutional Neural Network on Cross-Subject and Cross-Dataset EEG Emotion Recognition

The electroencephalogram (EEG) has great attraction in emotion recognition studies due to its resistance to deceptive actions of humans. This is one of the most significant advantages of brain signals in comparison to visual or speech signals in the emotion recognition context. A major challenge in...

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Bibliographic Details
Main Authors: Yucel Cimtay, Erhan Ekmekcioglu
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Sensors
Subjects:
EEG
emotion recognition
pretrained models
convolutional neural network
dense layer
subject independency
Online Access:https://www.mdpi.com/1424-8220/20/7/2034

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