EEG emotion recognition using multichannel weighted multiscale permutation entropy
Author:
Funder
national natural science foundation of china
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-021-03070-2.pdf
Reference52 articles.
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2. Yan J, Zheng W, Xin M et al (2014) Integrating facial expression and body gesture in videos for emotion recognition. IEICE Trans Inf Syst 97(3):610–613
3. Khosrowabadi R, Quek C, Ang KK et al (2013) ERNN: A biologically inspired feedforward neural network to discriminate emotion from EEG signal. IEEE Transactions on Neural Networks and Learning Systems 25(3):609–620. https://doi.org/10.1109/TNNLS.2013.2280271
4. Hamada M et al (2018) A systematic review for human EEG brain signals based emotion classification, feature extraction, brain condition, group comparison. J Med Syst 42(9):1–25
5. Alarcao SM, Fonseca MJ (2017) Emotions recognition using EEG signals: a survey. IEEE Trans Affect Comput 10(3):374–393. https://doi.org/10.1109/TAFFC.2017.2714671
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