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http://dx.doi.org/10.15701/kcgs.2020.26.2.11

Motion generation using Center of Mass  

Park, Geuntae (Dept. of Computer Science, Hanyang University)
Sohn, Chae Jun (Dept. of Computer Science, Hanyang University)
Lee, Yoonsang (Dept. of Computer Science, Hanyang University)
Publication Information
Journal of the Korea Computer Graphics Society / v.26, no.2, 2020 , pp. 11-19 More about this Journal
Abstract
When a character's pose changes, its center of mass(COM) also changes. The change of COM has distinctive patterns corresponding to various motion types like walking, running or sitting. Thus the motion type can be predicted by using COM movement. We propose a motion generator that uses character's center of mass information. This generator can generate various motions without annotated action type labels. Thus dataset for training and running can be generated full-automatically. Our neural network model takes the motion history of the character and its center of mass information as inputs and generates a full-body pose for the current frame, and is trained using simple Convolutional Neural Network(CNN) that performs 1D convolution to deal with time-series motion data.
Keywords
Center of mass; Convolutional Neural Network(CNN); Character animation;
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