Nonlinear classification of emotion from EEG signal based on maximized mutual information

Author:

Ghosh Snigdha MadhabORCID,Bandyopadhyay SharbaORCID,Mitra Debjani

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference58 articles.

1. Selection of mother wavelet functions for multi-channel EEG signal analysis during a working memory task;Al-Qazzaz;Sensors (Basel),2015

2. Emotions recognition using EEG signals: A survey;Alarcao;IEEE Transactions on Affective Computing,2017

3. Emotion recognition based on EEG using LSTM recurrent neural network;Alhagry;International Journal of Advanced Computer Science and Applications,2017

4. In-sample and out-of-sample model selection and error estimation for support vector machines;Anguita;IEEE Transactions on Neural Networks and Learning Systems,2012

5. Improving BCI-based emotion recognition by combining EEG feature selection and kernel classifiers;Atkinson;Expert Systems with Applications,2016

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3. EEG SIGNAL-DRIVEN HUMAN–COMPUTER INTERACTION EMOTION RECOGNITION MODEL USING AN ATTENTIONAL NEURAL NETWORK ALGORITHM;Journal of Mechanics in Medicine and Biology;2023-08-31

4. EMOTION RECOGNITION FROM EEG SIGNALS BASED ON OPTIMIZATION OF MUTUAL INFORMATION;2023 International Symposium on Devices, Circuits and Systems (ISDCS);2023-05-29

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