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Multi-Modal Domain Adaptation Variational Auto-encoder for EEG-Based Emotion Recognition

Yixin Wang Shuang Qiu Dan Li Changde Du Bao-Liang Lu Huiguang He

自动化学报（英文版）2022，Vol.9Issue(9)：1612-1626,15.

自动化学报（英文版）2022，Vol.9Issue(9)：1612-1626,15.DOI:10.1109/JAS.2022.105515

Multi-Modal Domain Adaptation Variational Auto-encoder for EEG-Based Emotion Recognition

Yixin Wang ¹Shuang Qiu ²Dan Li ³Changde Du ¹Bao-Liang Lu ²Huiguang He¹

作者信息

1. Research Center for Brain-inspired Intelligence,National Laboratory of Pattern Recognition,Institute of Automation,Chinese Academy of Science,Beijing 100190
2. University of Chinese Academy of Sciences,Beijing 100049
3. Beijing Institute of Control and Electronic Technology,Beijing 100038,China
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摘要

关键词

Cycle-consistency/domain adaptation/electroence-phalograph(EEG)/multi modality/variational autoencoder

Key words

Cycle-consistency/domain adaptation/electroence-phalograph(EEG)/multi modality/variational autoencoder

引用本文复制引用

Yixin Wang,Shuang Qiu,Dan Li,Changde Du,Bao-Liang Lu,Huiguang He..Multi-Modal Domain Adaptation Variational Auto-encoder for EEG-Based Emotion Recognition[J].自动化学报（英文版）,2022,9(9):1612-1626,15.

基金项目

This work was supported in part by National Natural Science Foundation of China(61976209,62020106015,U21A20388) （61976209,62020106015,U21A20388）

in part by the CAS International Collaboration Key Project(173211KYSB20190024) （173211KYSB20190024）

and in part by the Strategic Priority Research Program of CAS(XDB32040000).Recommended by Associate Editor Xin （XDB32040000）

自动化学报（英文版）

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ISSN：2329-9266

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