SparseDGCNN: Recognizing Emotion from Multichannel EEG Signals-Reference-Cited by-同舟云学术

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SparseDGCNN: Recognizing Emotion from Multichannel EEG Signals

Published:2021 Issue: Volume: Page:1-1
ISSN:1949-3045
Container-title:IEEE Transactions on Affective Computing
language:
Short-container-title:IEEE Trans. Affective Comput.

Author:

Zhang Guanhua,Yu Minjing,Liu Yong-Jin,Zhao Guozhen,Zhang Dan,Zheng Wenming

Funder

Royal Society-Newton Advanced Fellowship

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Software

Link

http://xplorestaging.ieee.org/ielx7/5165369/5520654/09321519.pdf?arnumber=9321519

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2. FBSA-Net: A novel model based on attention mechanisms for emotion recognition in VR and 2D scenes;Knowledge-Based Systems;2024-10

3. Multi-Domain Based Dynamic Graph Representation Learning for EEG Emotion Recognition;IEEE Journal of Biomedical and Health Informatics;2024-09

4. HEMAsNet: A Hemisphere Asymmetry Network Inspired by the Brain for Depression Recognition From Electroencephalogram Signals;IEEE Journal of Biomedical and Health Informatics;2024-09

5. Emotion Detection from EEG Signals Using Machine Deep Learning Models;Bioengineering;2024-08-02

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