Emotion recognition from EEG based on multi-task learning with capsule network and attention mechanism-Reference-Cited by-同舟云学术

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Emotion recognition from EEG based on multi-task learning with capsule network and attention mechanism

Published:2022-04 Issue: Volume:143 Page:105303
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Li Chang^ORCID,Wang Bin,Zhang Silin,Liu Yu^ORCID,Song Rencheng,Cheng Juan,Chen Xun

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Anhui Provincial Natural Science Foundation

National Defense Basic Scientific Research Program of China

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference64 articles.

1. The experience of emotion;Barrett;Annu. Rev. Psychol.,2007

2. X. Chen, C. Li, A. Liu, M. J. McKeown, R. Qian, Z. J. Wang, Toward open-world electroencephalogram decoding via deep learning: a comprehensive survey, IEEE Signal Processing Magazine, doi: 10.1109/MSP.2021.3134629.

3. C. Li, Z. Zhang, R. Song, J. Cheng, Y. Liu, X. Chen, Eeg-based emotion recognition via neural architecture search, IEEE Transactions on Affective Computing, doi: 10.1109/TAFFC.2021.3130387.

4. Eeg-based emotion recognition using an end-to-end regional-asymmetric convolutional neural network;Cui;Knowledge-Based Systems,2020

5. Multi-channel eeg-based emotion recognition via a multi-level features guided capsule network;Liu;Computers in Biology and Medicine,2020

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