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Performance timing for keyframe animation
SCA '04 Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation
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Spatial keyframing for performance-driven animation
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Construction and optimal search of interpolated motion graphs
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Video puppetry: a performative interface for cutout animation
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Real-time hand-tracking with a color glove
ACM SIGGRAPH 2009 papers
Performance capture with physical interaction
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Multitouch puppetry: creating coordinated 3D motion for an articulated arm
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Realtime human motion control with a small number of inertial sensors
I3D '11 Symposium on Interactive 3D Graphics and Games
Biomechanically-inspired motion path editing
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Creature features: online motion puppetry for non-human characters
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Character motion control interface with hand manipulation inspired by puppet mechanism
Proceedings of the 12th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry
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We present a system for generating full-body animations from the performance on a touch-sensitive tabletop of "finger walking", where two fingers are used to pantomime leg movements. A user study was conducted to explore how users can communicate full-body motion using their hands, which concluded that finger walking is a naturally-chosen and comfortable performance method. Based on contact data recorded during this study, the properties of a variety of performed locomotion types were analyzed to determine which motion parameters are most reliable and expressive for the purpose of generating corresponding full-body animations. Based on this analysis, a compact set of motion features was developed for classifying the locomotion type of a finger performance. A prototype interactive animation system was implemented to generate full-body animations of a known locomotion type from finger walking by estimating the motion path of a finger performance, and editing the path of a corresponding animation to match. The classification accuracy and output animation quality of this system was evaluated in a second user study, demonstrating that satisfying full-body animations can be reliably generated from finger performances.