2021 17th International Conference on Machine Vision and Applications (MVA) 2021
DOI: 10.23919/mva51890.2021.9511368
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Data Augmentation for Human Motion Prediction

Abstract: This paper presents a motion data augmentation scheme incorporating motion synthesis encouraging diversity and motion correction imposing physical plausibility. This motion synthesis consists of our modified Variational AutoEncoder (VAE) and Inverse Kinematics (IK). In this VAE, our proposed sampling-nearsamples method generates various valid motions even with insufficient training motion data. Our IK-based motion synthesis method allows us to generate a variety of motions semi-automatically. Since these two s… Show more

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