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dc.contributor.authorGarcia, E.en_US
dc.contributor.authorMcGraw, T.en_US
dc.contributor.editorErgun Akleman, Lyn Bartram, Anıl Çamcı, Angus Forbes, Penousal Machadoen_US
dc.date.accessioned2016-07-18T16:42:38Z
dc.date.available2016-07-18T16:42:38Z
dc.date.issued2016
dc.identifier.isbn978-3-03868-021-5
dc.identifier.urihttp://dx.doi.org/10.2312/exp.20161263
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/exp20161263
dc.description.abstractBodygraphe is an interactive, visual music application that unifies gestural computing with live performance art. Through motion, dancers become instruments and conductors of a visual music experience, and wholly generate graphics and sounds that correspond with their movements. This study is our initial approach to this idea, explaining our inspiration as well as the technical aspects of new work in computational aesthetics. Through this project, we seek to make a dramatic impact in the global arts community, offering new implications for research regarding the interconnectivity between body and technology. Bodygraphe incorporates real-time motion data into a multimedia performance art experience.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]
dc.subjectPicture/Image Generation
dc.subjectLine and curve generation
dc.titleBodygraphe: Gestural Computing for Visual Musicen_US
dc.description.seriesinformationExpressive 2016 - Posters, Artworks, and Bridging Papers
dc.description.sectionheadersBridging Papers
dc.identifier.doi10.2312/exp.20161263
dc.identifier.pages31-34


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