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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 | |
发表期刊 | PATTERN RECOGNITION |
ISSN | 0031-3203 |
2021-02-01 | |
卷号 | 110期号:1页码:12 |
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. |
关键词 | EEG Emotion recognition Domain adaptation SPD matrix Riemannian manifold Prototype learning |
DOI | 10.1016/j.patcog.2020.107626 |
关键词[WOS] | RIEMANNIAN GEOMETRY ; ALGORITHMS ; SIGNALS |
收录类别 | SCI |
语种 | 英语 |
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] |
项目资助者 | National Natural Science Foundation of China ; CAS International Collaboration Key Project ; Strategic Priority Research Program of CAS |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000585303400006 |
出版者 | ELSEVIER SCI LTD |
七大方向——子方向分类 | 脑机接口 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/41660 |
专题 | 脑图谱与类脑智能实验室_神经计算与脑机交互 |
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, 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 |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
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(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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