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dc.contributor.authorDaly, Ien
dc.contributor.authorWilliams, Den
dc.contributor.authorMalik, Aen
dc.contributor.authorWeaver, Jen
dc.contributor.authorKirke, Aen
dc.contributor.authorHwang, Fen
dc.contributor.authorMiranda, Een
dc.contributor.authorNasuto, SJen
dc.date.accessioned2018-09-10T09:37:09Z
dc.date.available2018-09-10T09:37:09Z
dc.identifier.issn1949-3045en
dc.identifier.urihttp://hdl.handle.net/10026.1/12294
dc.format.extent1 - 1en
dc.language.isoenen
dc.titlePersonalised, Multi-modal, Affective State Detection for Hybrid Brain-Computer Music Interfacingen
dc.typeJournal Article
plymouth.journalIEEE Transactions on Affective Computingen
dc.identifier.doi10.1109/TAFFC.2018.2801811en
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Arts, Humanities and Business
plymouth.organisational-group/Plymouth/Faculty of Arts, Humanities and Business/School of Humanities and Performing Arts
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA33 Music, Drama, Dance, Performing Arts, Film and Screen Studies
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dcterms.dateAccepted2018-01-05en
dc.rights.embargoperiodNot knownen
rioxxterms.versionofrecord10.1109/TAFFC.2018.2801811en
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.typeJournal Article/Reviewen


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