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Motion doodles: an interface for sketching character motion
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Style-based inverse kinematics
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Automated extraction and parameterization of motions in large data sets
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Efficient content-based retrieval of motion capture data
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Performance animation from low-dimensional control signals
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Learning silhouette features for control of human motion
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Motion templates for automatic classification and retrieval of motion capture data
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Responsive characters from motion fragments
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Indexing and Retrieving Motions of Characters in Close Contact
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Performance-based control interface for character animation
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Action capture with accelerometers
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Animating non-humanoid characters with human motion data
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I'm in the game: embodied puppet interface improves avatar control
Proceedings of the fifth international conference on Tangible, embedded, and embodied interaction
An actuated physical puppet as an input device for controlling a digital manikin
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3D puppetry: a kinect-based interface for 3D animation
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Retrieval and Visualization of Human Motion Data via Stick Figures
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Efficient motion retrieval in large motion databases
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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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Intuitive and efficient retrieval of motion capture data is essential for effective use of motion capture databases. In this paper, we describe a system that allows the user to retrieve a particular sequence by performing an approximation of the motion with an instrumented puppet. This interface is intuitive because both adults and children have experience playacting with puppets and toys to express particular behaviors or to tell stories with style and emotion. The puppet has 17 degrees of freedom and can therefore represent a variety of motions. We develop a novel similarity metric between puppet and human motion by computing the reconstruction errors of the puppet motion in the latent space of the human motion and those of the human motion in the latent space of the puppet motion. This metric works even for relatively large databases. We conducted a user study of the system and subjects could find the desired motion with reasonable accuracy from a database consisting of everyday, exercise, and acrobatic behaviors.