Online Motion Synthesis Framework using a Simple Mass Model based on Predictive Coding

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dc.contributor.authorHwang, Jaepyungen_US
dc.contributor.authorIshii, Shinen_US
dc.contributor.authorOba, Shigeyukien_US
dc.contributor.editorBatty, Christopher and Huang, Jinen_US
dc.date.accessioned2019-11-22T13:23:13Z
dc.date.available2019-11-22T13:23:13Z
dc.date.issued2019
dc.description.abstractHybrid-based character animation utilizing the motion capture data and a simplified physics model allows synthesizing the motion data without losing its naturalness of the original motion. However, using both the physical model and the motion data requires professional insights, experiences, and extra efforts such as preprocessing or off-line optimization. To handle the issue, we propose a new type of motion synthesis framework. The proposed framework combines multiple information sources that generate the reference motion based on the motion capture data and physical constraints based on the physical model. To verify the proposed framework, we define a mass-spring model to represent each skeletal joint of a human character model along with a small amount of motion capture data, a human walking motion.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationEurographics/ ACM SIGGRAPH Symposium on Computer Animation
dc.identifier.doi10.1145/3309486.3339894
dc.identifier.isbn978-1-4503-6677-9
dc.identifier.issn1727-5288
dc.identifier.urihttps://doi.org/10.1145/3309486.3339894
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1145/3309486-3339894
dc.publisherACMen_US
dc.subjectComputing methodologies→Animation. predictive coding
dc.subjectonline error compensation
dc.subjecta simple physical model
dc.titleOnline Motion Synthesis Framework using a Simple Mass Model based on Predictive Codingen_US
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SCA 19: Eurographics/SIGGRAPH Symposium on Computer Animation