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Conference Paper: Emotion-aware Music Information Retrieval Based on Physiological Signals and User Profile

TitleEmotion-aware Music Information Retrieval Based on Physiological Signals and User Profile
Authors
Li, FNg, TDHu, X
Issue Date2018
PublisherTélécom ParisTech and IRCAM.
Citation
19th International Society for Music Information Retrieval Conference (ISMIR), Paris, France, 23-27 September 2018 How to Cite?
AbstractThis study aims to explore the possibility of using physiological signals to detect users’ emotional responses to music and whether individual differences can affect this process. A user experiment was conducted with 50 participants using a novel MIR system. Data was analyzed using machine learning methods.
Persistent Identifierhttp://hdl.handle.net/10722/259797

 

DC FieldValueLanguage
dc.contributor.authorLi, F-
dc.contributor.authorNg, TD-
dc.contributor.authorHu, X-
dc.date.accessioned2018-09-03T04:14:12Z-
dc.date.available2018-09-03T04:14:12Z-
dc.date.issued2018-
dc.identifier.citation19th International Society for Music Information Retrieval Conference (ISMIR), Paris, France, 23-27 September 2018-
dc.identifier.urihttp://hdl.handle.net/10722/259797-
dc.description.abstractThis study aims to explore the possibility of using physiological signals to detect users’ emotional responses to music and whether individual differences can affect this process. A user experiment was conducted with 50 participants using a novel MIR system. Data was analyzed using machine learning methods.-
dc.languageeng-
dc.publisherTélécom ParisTech and IRCAM. -
dc.relation.ispartofInternational Society for Music Information Retrieval Conference (ISMIR)-
dc.titleEmotion-aware Music Information Retrieval Based on Physiological Signals and User Profile-
dc.typeConference_Paper-
dc.identifier.emailNg, TD: jeremyng@hku.hk-
dc.identifier.emailHu, X: xiaoxhu@hku.hk-
dc.identifier.authorityHu, X=rp01711-
dc.identifier.hkuros288452-
dc.publisher.placeParis, France-

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