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A Coincidence Filtering-based Approach for CNNs in EEG-based Recognition

dc.contributor.authorGao, Zhongke
dc.contributor.authorLi, Yanli
dc.contributor.authorYang, Yuxuan
dc.contributor.authorDong, Na
dc.contributor.authorYang, Xiong
dc.contributor.authorGrebogi, Celso
dc.date.accessioned2019-11-20T08:50:02Z
dc.date.available2019-11-20T08:50:02Z
dc.date.issued2020-11-30
dc.identifier149523434
dc.identifier4806878b-c15d-45d4-a312-3216459f6d64
dc.identifier85089354980
dc.identifier.citationGao , Z , Li , Y , Yang , Y , Dong , N , Yang , X & Grebogi , C 2020 , ' A Coincidence Filtering-based Approach for CNNs in EEG-based Recognition ' , IEEE Transactions on Industrial Informatics , vol. 16 , no. 11 , 8911225 , pp. 7159-7167 . https://doi.org/10.1109/TII.2019.2955447en
dc.identifier.issn1551-3203
dc.identifier.otherSCOPUS: 85089354980
dc.identifier.otherORCID: /0000-0002-9811-4617/work/107061998
dc.identifier.urihttps://hdl.handle.net/2164/13286
dc.descriptionThis work was supported by National Natural Science Foundation of China under Grant N os. 61873181, 61922062 and 61773282en
dc.format.extent8
dc.format.extent1699002
dc.language.isoeng
dc.relation.ispartofIEEE Transactions on Industrial Informaticsen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectconvolutional neural networksen
dc.subjectelectroencephalography (EEG)en
dc.subjectemotion recognitionen
dc.subjectfatigue driving detectionen
dc.subjectConvolutional neural networks (CNNs)en
dc.subjectelectroencephalogram (EEG)en
dc.subjectQC Physicsen
dc.subjectInformation Systemsen
dc.subjectElectrical and Electronic Engineeringen
dc.subjectControl and Systems Engineeringen
dc.subjectComputer Science Applicationsen
dc.subject.lccQCen
dc.titleA Coincidence Filtering-based Approach for CNNs in EEG-based Recognitionen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Environment and Food Securityen
dc.contributor.institutionUniversity of Aberdeen.Physicsen
dc.contributor.institutionUniversity of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB)en
dc.description.statusPeer revieweden
dc.identifier.doi10.1109/TII.2019.2955447
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85089354980&partnerID=8YFLogxKen
dc.identifier.vol16en
dc.identifier.iss11en


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