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Towards Affective Lifelogging with Information Fusion

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dc.contributor.authorJung, Jason J.-
dc.contributor.authorHong, Minsung-
dc.contributor.authorLee, O-Joun-
dc.contributor.authorPark, Jaehong-
dc.contributor.authorChoi, Chang-
dc.date.accessioned2022-04-14T09:40:17Z-
dc.date.available2022-04-14T09:40:17Z-
dc.date.issued2017-08-
dc.identifier.issn2469-8792-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/56539-
dc.description.abstractRecently, most of context-aware services are trying to exploit the emotional contexts of the target users. The aim of this conceptual paper is to discuss affective lifelogging framework which can recognize the emotions by integrating multimodal information from multiple sources. Moreover, we will mention the open problems on affective lifelogging.-
dc.format.extent2-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE-
dc.titleTowards Affective Lifelogging with Information Fusion-
dc.typeArticle-
dc.identifier.doi10.1109/IE.2017.25-
dc.identifier.bibliographicCitation2017 13TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENVIRONMENTS (IE 2017), v.2017-January, pp 153 - 154-
dc.description.isOpenAccessN-
dc.identifier.wosid000418330300022-
dc.identifier.scopusid2-s2.0-85052693770-
dc.citation.endPage154-
dc.citation.startPage153-
dc.citation.title2017 13TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENVIRONMENTS (IE 2017)-
dc.citation.volume2017-January-
dc.type.docTypeProceedings Paper-
dc.subject.keywordAuthorAffective computing-
dc.subject.keywordAuthorInformation fusion-
dc.subject.keywordAuthorLifelogging-
dc.subject.keywordAuthorStream synchronization-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.description.journalRegisteredClassscopus-
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소프트웨어대학 (소프트웨어학부)
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