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dc.contributor.authorKim, Seonghunen_US
dc.contributor.authorBalasubramanyam, Adithyaen_US
dc.contributor.authorKim, Dubeomen_US
dc.contributor.authorChai, Young Hoen_US
dc.contributor.authorPatil, Ashok Kumaren_US
dc.contributor.editorKerren, Andreas and Garth, Christoph and Marai, G. Elisabetaen_US
dc.date.accessioned2020-05-24T13:52:11Z
dc.date.available2020-05-24T13:52:11Z
dc.date.issued2020
dc.identifier.isbn978-3-03868-106-9
dc.identifier.urihttps://doi.org/10.2312/evs.20201065
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/evs20201065
dc.description.abstractA motion comparison method using images allows for the motions to be easily recognized and to see differences between each action. However, when using images, orientation differences between similar motions cannot be quantified. Although many studies have been conducted on methods to represent the data and apply detailed motion comparisons, these representations are difficult to understand because the relationship between the motion and the representation is not clear. This paper introduces a novel motion representation method called the Joint-Sphere that enables detailed motion comparisons and an intuitive understanding of each joint movement. In each Joint-Sphere, the movement of a specific joint part is represented. Several Joint- Spheres can be used to represent a full-body motion. The results from a dance motion pattern show that each joint movement can be compared accurately even when several joints are moving quickly.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/]
dc.subjectHuman centered computing
dc.subjectInformation visualization
dc.subjectHuman computer interaction (HCI)
dc.subjectVisual analytics
dc.subjectVisualization toolkits
dc.subjectComputing methodologies
dc.subjectMotion capture
dc.titleJoint-Sphere: Intuitive and Detailed Human Joint Motion Representationen_US
dc.description.seriesinformationEuroVis 2020 - Short Papers
dc.description.sectionheadersRendering, Images, and Applications
dc.identifier.doi10.2312/evs.20201065
dc.identifier.pages157-161


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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License