Joint Feature Adaptation and Graph Adaptive Label Propagation for Cross-Subject Emotion Recognition From EEG Signals-Reference-Cited by-同舟云学术

Joint Feature Adaptation and Graph Adaptive Label Propagation for Cross-Subject Emotion Recognition From EEG Signals

Published:2022-10-01 Issue:4 Volume:13 Page:1941-1958
ISSN:1949-3045
Container-title:IEEE Transactions on Affective Computing
language:
Short-container-title:IEEE Trans. Affective Comput.

Author:

Peng Yong¹^ORCID,Wang Wenjuan¹,Kong Wanzeng¹^ORCID,Nie Feiping²^ORCID,Lu Bao-Liang³^ORCID,Cichocki Andrzej⁴

Affiliation:

1. School of Computer Science and Technology, Zhejiang Key Laboratory of Brain-Machine Collaborative Intelligence, Hangzhou Dianzi University, Hangzhou, China

2. School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi’an, China

3. Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China

4. Center for Computational and Data-Intensive Science and Engineering, Skolkov Institute of Science and Technology, Moscow, Russia

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Fundamental Research Funds for the Provincial Universities of Zhejiang

Natural Science Foundation of Zhejiang Province

China Postdoctoral Science Foundation

CAAC Key Laboratory of Flight Techniques and Flight Safety

Guangxi Key Laboratory of Optoelectronic Information Processing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Software

Link

http://xplorestaging.ieee.org/ielx7/5165369/9964459/09817639.pdf?arnumber=9817639

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