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A prototype-based SPD matrix network for domain adaptation EEG emotion recognition
Wang, Yixin1,2,3; Qiu, Shuang1,2; Ma, Xuelin1,2,3; He, Huiguang1,2,3,4
Source PublicationPATTERN RECOGNITION
ISSN0031-3203
2021-02-01
Volume110Issue:1Pages:12
Abstract

Emotion plays a vital role in human daily life, and EEG signals are widely used in emotion recognition. Due to individual variability, training a generic emotion recognition model across different subjects is difficult. The conventional method involves the collection of a large amount of calibration data to build subject-specific models. Recently, developing an effective brain-computer interface with a short calibra-tion time has become a challenge. To solve this problem, we propose a domain adaptation SPD matrix network (daSPDnet) that can successfully capture an intrinsic emotional representation shared between different subjects. Our method jointly exploits feature adaptation with distribution confusion and sample adaptation with centroid alignment. We compute the SPD matrix based on the covariance as a feature and make a novel attempt to combine prototype learning with the Riemannian metric. Extensive experiments are conducted on the DREAMER and DEAP datasets, and the results show the superiority of our proposed method. (c) 2020 Elsevier Ltd. All rights reserved.

KeywordEEG Emotion recognition Domain adaptation SPD matrix Riemannian manifold Prototype learning
DOI10.1016/j.patcog.2020.107626
WOS KeywordRIEMANNIAN GEOMETRY ; ALGORITHMS ; SIGNALS
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[61976209] ; National Natural Science Foundation of China[81701785] ; CAS International Collaboration Key Project[173211KYSB20190024] ; Strategic Priority Research Program of CAS[XDB32040000]
Funding OrganizationNational Natural Science Foundation of China ; CAS International Collaboration Key Project ; Strategic Priority Research Program of CAS
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000585303400006
PublisherELSEVIER SCI LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/41660
Collection类脑智能研究中心_神经计算与脑机交互
Corresponding AuthorHe, Huiguang
Affiliation1.Chinese Acad Sci, Res Ctr Brain Inspired Intelligence, Beijing, Peoples R China
2.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China
4.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Beijing, Peoples R China
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Wang, Yixin,Qiu, Shuang,Ma, Xuelin,et al. A prototype-based SPD matrix network for domain adaptation EEG emotion recognition[J]. PATTERN RECOGNITION,2021,110(1):12.
APA Wang, Yixin,Qiu, Shuang,Ma, Xuelin,&He, Huiguang.(2021).A prototype-based SPD matrix network for domain adaptation EEG emotion recognition.PATTERN RECOGNITION,110(1),12.
MLA Wang, Yixin,et al."A prototype-based SPD matrix network for domain adaptation EEG emotion recognition".PATTERN RECOGNITION 110.1(2021):12.
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