Grammatical Evolution for Gait Retargeting

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dc.contributor.authorMurphy, James E.en_US
dc.contributor.authorCarr, Hamishen_US
dc.contributor.authorO'Neill, Michaelen_US
dc.contributor.editorIk Soo Lim and Wen Tangen_US
dc.date.accessioned2014-01-31T20:02:26Z
dc.date.available2014-01-31T20:02:26Z
dc.date.issued2008en_US
dc.description.abstractArtists and scientists require tools to construct physics-based animal models. However, animating these models requires motion data for realistic movement. Motion data may either be measured from real-life animals-in-motion or generated using an optimisation approach. We propose a solution for retargeting gait data from one animal to another. The retargeted gait cycles are generated using a Grammatical Evolution optimisation approach and the search space is constrained based on dynamic similarity principles.en_US
dc.description.seriesinformationTheory and Practice of Computer Graphicsen_US
dc.identifier.isbn978-3-905673-67-8en_US
dc.identifier.urihttps://doi.org/10.2312/LocalChapterEvents/TPCG/TPCG08/159-162en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realismen_US
dc.titleGrammatical Evolution for Gait Retargetingen_US
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