A prototype-based SPD matrix network for domain adaptation EEG emotion recognition
文献类型:期刊论文
作者 | Wang, Yixin1,3,4; Qiu, Shuang1,4; Ma, Xuelin1,3,4; He, Huiguang1,2,3,4 |
刊名 | PATTERN RECOGNITION |
出版日期 | 2021-02-01 |
卷号 | 110页码:12 |
ISSN号 | 0031-3203 |
关键词 | EEG Emotion recognition Domain adaptation SPD matrix Riemannian manifold Prototype learning |
DOI | 10.1016/j.patcog.2020.107626 |
通讯作者 | He, Huiguang(maxuelin2015@ia.ac.cn) |
英文摘要 | 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. |
WOS关键词 | RIEMANNIAN GEOMETRY ; ALGORITHMS ; SIGNALS |
资助项目 | National 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] |
WOS研究方向 | Computer Science ; Engineering |
语种 | 英语 |
出版者 | ELSEVIER SCI LTD |
WOS记录号 | WOS:000585303400006 |
资助机构 | National Natural Science Foundation of China ; CAS International Collaboration Key Project ; Strategic Priority Research Program of CAS |
源URL | [http://ir.ia.ac.cn/handle/173211/41659] |
专题 | 类脑智能研究中心_神经计算及脑机交互 |
通讯作者 | He, Huiguang |
作者单位 | 1.Chinese Acad Sci, Res Ctr Brain Inspired Intelligence, Beijing, Peoples R China 2.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China 4.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing, Peoples R China |
推荐引用方式 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,2021,110:12. |
APA | Wang, Yixin,Qiu, Shuang,Ma, Xuelin,&He, Huiguang.(2021).A prototype-based SPD matrix network for domain adaptation EEG emotion recognition.PATTERN RECOGNITION,110,12. |
MLA | Wang, Yixin,et al."A prototype-based SPD matrix network for domain adaptation EEG emotion recognition".PATTERN RECOGNITION 110(2021):12. |
入库方式: OAI收割
来源:自动化研究所
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