A Dual-Branch Dynamic Graph Convolution Based Adaptive TransFormer Feature Fusion Network for EEG Emotion Recognition-Reference-Cited by-同舟云学术

A Dual-Branch Dynamic Graph Convolution Based Adaptive TransFormer Feature Fusion Network for EEG Emotion Recognition

Published:2022-10-01 Issue:4 Volume:13 Page:2218-2228
ISSN:1949-3045
Container-title:IEEE Transactions on Affective Computing
language:
Short-container-title:IEEE Trans. Affective Comput.

Author:

Sun Mingyi¹,Cui Weigang²^ORCID,Yu Shuyue³^ORCID,Han Hongbin⁴,Hu Bin⁵^ORCID,Li Yang⁶^ORCID

Affiliation:

1. Department of Automation Science and Electrical Engineering, Beihang University, Beijing, China

2. School of Engineering Medicine, Beihang University, Beijing, China

3. Beijing Aerospace Measurement & Control Technology Co. Ltd, Beijing, China

4. Institute of Medical Technology, Peking University Health Science Center, Peking University, Beijing, China

5. Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu, China

6. Beijing Advanced Innovation Center for Big Data and Brain Computing, Department of Automation Science and Electrical Engineering, Beihang University, Beijing, China

Funder

National Natural Science Foundation of China

Beijing Municipal Education Commission - Natural Science Foundation

Beijing United Imaging Research Institute of Intelligent Imaging Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Software

Link

http://xplorestaging.ieee.org/ielx7/5165369/9964459/09857970.pdf?arnumber=9857970

Reference40 articles.

1. Feature Extraction and Selection for Emotion Recognition from EEG

2. Toward an EEG-Based Recognition of Music Liking Using Time-Frequency Analysis

3. EEG-based Emotion Recognition via Channel-wise Attention and Self Attention

4. Emotion Recognition using Multimodal Residual LSTM Network

5. Positional-spectral-temporal attention in 3D convolutional neural networks for EEG emotion recognition;liu,2021

Cited by 36 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. A radial basis deformable residual convolutional neural model embedded with local multi-modal feature knowledge and its application in cross-subject classification;Expert Systems with Applications;2024-12

2. LSCAformer: Long and short-term cross-attention-aware transformer for depression recognition from video sequences;Biomedical Signal Processing and Control;2024-12

3. Emotion recognition using hierarchical spatial–temporal learning transformer from regional to global brain;Neural Networks;2024-11

4. A review of aquaculture: From single modality analysis to multimodality fusion;Computers and Electronics in Agriculture;2024-11

5. Depressformer: Leveraging Video Swin Transformer and fine-grained local features for depression scale estimation;Biomedical Signal Processing and Control;2024-10