Real-time integrated human activity recognition system based on multimodal user understanding

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dc.contributor.authorChoi, Jun-Hoko
dc.contributor.authorKim, Kyungminko
dc.contributor.authorPark, Taejinko
dc.contributor.authorYun, Junhoko
dc.contributor.authorLee, Jong-Hwanko
dc.contributor.authorKim, Songkukko
dc.contributor.authorShim, Hyunjungko
dc.contributor.authorLee, Jong-Seokko
dc.date.accessioned2022-08-26T07:00:23Z-
dc.date.available2022-08-26T07:00:23Z-
dc.date.created2022-07-07-
dc.date.created2022-07-07-
dc.date.issued2020-03-
dc.identifier.citation25th International Conference on Intelligent User Interfaces, IUI 2020, pp.89 - 90-
dc.identifier.urihttp://hdl.handle.net/10203/298141-
dc.description.abstractThis paper presents our real-time human activity recognition system that understands human behavior using multimodal sensor data at multiple levels. Our system consists of a multimodal data acquisition framework and a user understanding algorithm including user identification, activity recognition, and health monitoring components.-
dc.languageEnglish-
dc.publisherAssociation for Computing Machinery-
dc.titleReal-time integrated human activity recognition system based on multimodal user understanding-
dc.typeConference-
dc.identifier.wosid000629492200045-
dc.identifier.scopusid2-s2.0-85082165751-
dc.type.rimsCONF-
dc.citation.beginningpage89-
dc.citation.endingpage90-
dc.citation.publicationname25th International Conference on Intelligent User Interfaces, IUI 2020-
dc.identifier.conferencecountryIT-
dc.identifier.conferencelocationCagliari-
dc.identifier.doi10.1145/3379336.3381482-
dc.contributor.localauthorShim, Hyunjung-
dc.contributor.nonIdAuthorChoi, Jun-Ho-
dc.contributor.nonIdAuthorKim, Kyungmin-
dc.contributor.nonIdAuthorPark, Taejin-
dc.contributor.nonIdAuthorYun, Junho-
dc.contributor.nonIdAuthorLee, Jong-Hwan-
dc.contributor.nonIdAuthorKim, Songkuk-
dc.contributor.nonIdAuthorLee, Jong-Seok-
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