EEG-Based Subject-Independent Emotion Recognition Using Gated Recurrent Unit and Minimum Class Confusion-Reference-Cited by-同舟云学术

EEG-Based Subject-Independent Emotion Recognition Using Gated Recurrent Unit and Minimum Class Confusion

Published:2022 Issue: Volume: Page:1-1
ISSN:1949-3045
Container-title:IEEE Transactions on Affective Computing
language:
Short-container-title:IEEE Trans. Affective Comput.

Author:

Cui Heng¹,Liu Aiping²,Zhang Xu²,Chen Xiang²,Liu Jun²,Chen Xun³

Affiliation:

1. Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China and also with the School of Information Science and Technology, University of Science and Technology of China, Hefei 230027, China

2. School of Information Science and Technology, University of Science and Technology of China, Hefei 230027, China.

3. Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China and also with the USTC IAT-Huami Joint Laboratory for Brain-Machine Intelligence, Institute of Advanced Technology, University of Science and Technology of China, Hefei 230088, China

Funder

USTC Research Funds of the Double First-Class Initiative

Youth Innovation Promotion Association of the Chinese Academy of Sciences

National Natural Science Foundation of China

Cyrus Tang Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Software

Link

http://xplorestaging.ieee.org/ielx7/5165369/5520654/09786857.pdf?arnumber=9786857

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