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Avatar behavior representation and control technique: A hierarchical scripts approach

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dc.contributor.authorKim, JK-
dc.contributor.authorSohn, WS-
dc.contributor.authorLim, SB-
dc.contributor.authorChoy, YC-
dc.date.available2021-02-22T16:16:45Z-
dc.date.created2020-09-01-
dc.date.issued2004-12-
dc.identifier.issn0302-9743-
dc.identifier.urihttps://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/16130-
dc.description.abstractAvatar techniques have rapidly progressed in recent years, and will be widely adopted to various applications. The paper proposes hierarchical approach for representation and control techniques for avatar behavior for simpler avatar control in various domains. We proposed three-layered architecture: task-level behavior, high-level motion, and primitive motion. Thus, the user controls avatar at task-level layer and does not have to concern about low-level animation data. Our goal is to support flexible and extensible representation and control of avatar behavior by hierarchical approach separating application domains and implementation tools.-
dc.language영어-
dc.language.isoen-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.titleAvatar behavior representation and control technique: A hierarchical scripts approach-
dc.typeArticle-
dc.contributor.affiliatedAuthorLim, SB-
dc.identifier.scopusid2-s2.0-35048827446-
dc.identifier.wosid000226644400135-
dc.identifier.bibliographicCitationCOMPUTATIONAL AND INFORMATION SCIENCE, PROCEEDINGS, v.3314, pp.873 - 878-
dc.relation.isPartOfCOMPUTATIONAL AND INFORMATION SCIENCE, PROCEEDINGS-
dc.citation.titleCOMPUTATIONAL AND INFORMATION SCIENCE, PROCEEDINGS-
dc.citation.volume3314-
dc.citation.startPage873-
dc.citation.endPage878-
dc.type.rimsART-
dc.type.docTypeArticle; Proceedings Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.identifier.urlhttps://link.springer.com/chapter/10.1007/978-3-540-30497-5_135-
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