Generalizing wave gestures from sparse examples for real-time character control

Motion-tracked real-time character control is important for games and VR, but current solutions are limited: retargeting is hard for non-human characters, with locomotion bound to the sensing volume; and pose mappings are ambiguous with difficult dynamic motion control. We robustly estimate wave pro...

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Bibliographic Details
Published in:ACM transactions on graphics 2015-11, Vol.34 (6), p.1-12
Main Authors: Rhodin, Helge, Tompkin, James, Kim, Kwang In, de Aguiar, Edilson, Pfister, Hanspeter, Seidel, Hans-Peter, Theobalt, Christian
Format: Article
Language:English
Subjects:
Animation
Estimates
Locomotion
Mapping
Real time
Representations
Walking
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Summary:Motion-tracked real-time character control is important for games and VR, but current solutions are limited: retargeting is hard for non-human characters, with locomotion bound to the sensing volume; and pose mappings are ambiguous with difficult dynamic motion control. We robustly estimate wave properties --- amplitude, frequency, and phase ---for a set of interactively-defined gestures by mapping user motions to a low-dimensional independent representation. The mapping separates simultaneous or intersecting gestures, and extrapolates gesture variations from single training examples. For animations such as locomotion, wave properties map naturally to stride length, step frequency, and progression, and allow smooth transitions from standing, to walking, to running. Interpolating out-of-phase locomotions is hard, e.g., quadruped legs between walks and runs switch phase, so we introduce a new time-interpolation scheme to reduce artifacts. These improvements to real-time motion-tracked character control are important for common cyclic animations. We validate this in a user study, and show versatility to apply to part- and full-body motions across a variety of sensors.
ISSN:0730-0301
1557-7368
DOI:10.1145/2816795.2818082