PR-PL: A Novel Prototypical Representation Based Pairwise Learning Framework for Emotion Recognition Using EEG Signals-Reference-Cited by-同舟云学术

PR-PL: A Novel Prototypical Representation Based Pairwise Learning Framework for Emotion Recognition Using EEG Signals

Published:2023 Issue: Volume: Page:1-14
ISSN:1949-3045
Container-title:IEEE Transactions on Affective Computing
language:
Short-container-title:IEEE Trans. Affective Comput.

Author:

Zhou Rushuang¹,Zhang Zhiguo²^ORCID,Fu Hong³^ORCID,Zhang Li¹^ORCID,Li Linling¹,Huang Gan¹,Li Fali⁴^ORCID,Yang Xin¹^ORCID,Dong Yining⁵^ORCID,Zhang Yuan-Ting⁶^ORCID,Liang Zhen¹^ORCID

Affiliation:

1. School of Biomedical Engineering, Medical School, Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen University, Shenzhen, China

2. Institute of Computing and Intelligence, Harbin Institute of Technology, Shenzhen, China

3. Department of Mathematics and Information Technology, The Education University of Hong Kong, Ting Kok, Hong Kong

4. The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, China

5. School of Data Science, Hong Kong Center for Cerebro-Cardiovascular Health Engineering (COCHE), Hong Kong Science and Technology Park, City University of Hong Kong, Kowloon Tong, Hong Kong

6. Department of Biomedical Engineering, Hong Kong Center for Cerebro-Cardiovascular Health Engineering (COCHE), Hong Kong Science and Technology Park, City University of Hong Kong, Kowloon Tong, Hong Kong

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Software

Link

http://xplorestaging.ieee.org/ielx7/5165369/5520654/10160130.pdf?arnumber=10160130

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