Spatio-temporal aggregation of skeletal motion features for human motion prediction

This study proposes a human body motion prediction model that can adapt to the disorders in various human motion patterns and represent the kinematic constraints. In human motion prediction, the acquisition of features that capture inter-motion and inter-joint linkages is considered effective. To ge...

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Bibliographic Details
Main Authors: Kitahara, I. (Author), Shishido, H. (Author), Ueda, I. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2022
Subjects:
Online Access:View Fulltext in Publisher