Performance evaluation of multi-channel electroencephalogram signal (EEG) based time frequency analysis for human emotion recognition

Author:

Wagh Kalyani P.,Vasanth K.

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference51 articles.

1. Ruo-Nan Duan, Jia-Yi Zhu and Bao-Liang Lu, Differential entropy feature for EEG-based emotion classification, in: Proc. of the 6th International IEEE EMBS Conference on Neural Engineering (NER). 2013: 81-84.

2. Investigating Critical Frequency Bands and Channels for EEG-based Emotion Recognition with Deep Neural Networks, accepted by IEEE;Zheng;Transactions on Autonomous Mental Development (IEEE TAMD),2015

3. A parallel algorithm framework for feature extraction of EEG signals on MPI;Xiong;Comput. Math. Methods Med.,2020

4. Predictable internal brain dynamics in EEG and its relation to conscious states;Yoo;Front. Inneurorobot.,2014

5. Exploring EEG features in cross subject emotion recognition;Li;Front. Neurosci.,2018

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