An Efficient LSTM Network for Emotion Recognition from Multichannel EEG Signals-Reference-Cited by-同舟云学术

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An Efficient LSTM Network for Emotion Recognition from Multichannel EEG Signals

Published:2020 Issue: Volume: Page:1-1
ISSN:1949-3045
Container-title:IEEE Transactions on Affective Computing
language:
Short-container-title:IEEE Trans. Affective Comput.

Author:

Du Xiaobing,Ma Cuixia,Zhang Guanhua,Li Jinyao,Lai Yu-Kun,Zhao Guozhen,Deng Xiaoming,Liu Yong-Jin,Wang Hongan

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Software

Link

http://xplorestaging.ieee.org/ielx7/5165369/5520654/09154557.pdf?arnumber=9154557

Cited by 142 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GNN-based multi-source domain prototype representation for cross-subject EEG emotion recognition;Neurocomputing;2024-12

2. Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods;Neurocomputing;2024-11

3. A novel signal channel attention network for multi-modal emotion recognition;Frontiers in Neurorobotics;2024-09-11

4. A review of artificial intelligence methods enabled music-evoked EEG emotion recognition and their applications;Frontiers in Neuroscience;2024-09-04

5. ER-GET: Emotion Recognition Based on Global ECG Trajectory;IEEE Journal of Biomedical and Health Informatics;2024-09

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