ChoreoVis: Planning and Assessing Formations in Dance Choreographies

dc.contributor.authorBeck, Samuelen_US
dc.contributor.authorDoerr, Ninaen_US
dc.contributor.authorKurzhals, Kunoen_US
dc.contributor.authorRiedlinger, Alexanderen_US
dc.contributor.authorSchmierer, Fabianen_US
dc.contributor.authorSedlmair, Michaelen_US
dc.contributor.authorKoch, Steffenen_US
dc.contributor.editorAigner, Wolfgangen_US
dc.contributor.editorArchambault, Danielen_US
dc.contributor.editorBujack, Roxanaen_US
dc.date.accessioned2024-05-21T08:19:27Z
dc.date.available2024-05-21T08:19:27Z
dc.date.issued2024
dc.description.abstractSports visualization has developed into an active research field over the last decades. Many approaches focus on analyzing movement data recorded from unstructured situations, such as soccer. For the analysis of choreographed activities like formation dancing, however, the goal differs, as dancers follow specific formations in coordinated movement trajectories. To date, little work exists on how visual analytics methods can support such choreographed performances. To fill this gap, we introduce a new visual approach for planning and assessing dance choreographies. In terms of planning choreographies, we contribute a web application with interactive authoring tools and views for the dancers' positions and orientations, movement trajectories, poses, dance floor utilization, and movement distances. For assessing dancers' real-world movement trajectories, extracted by manual bounding box annotations, we developed a timeline showing aggregated trajectory deviations and a dance floor view for detailed trajectory comparison. Our approach was developed and evaluated in collaboration with dance instructors, showing that introducing visual analytics into this domain promises improvements in training efficiency for the future.en_US
dc.description.number3
dc.description.sectionheadersInteractions and Human Movement
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume43
dc.identifier.doi10.1111/cgf.15104
dc.identifier.issn1467-8659
dc.identifier.pages12 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.15104
dc.identifier.urihttps://diglib.eg.org/handle/10.1111/cgf15104
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing → Visual analytics
dc.subjectHuman centered computing → Visual analytics
dc.titleChoreoVis: Planning and Assessing Formations in Dance Choreographiesen_US
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