Human Motion Prediction Based on Space-Time-Separable Graph Convolutional Network

Human Motion Prediction Based on Space-Time-Separable Graph Convolutional Network

Human motion prediction is a popular method to predict future motion sequences based on past sequences, which is widely used in human-computer interaction. Space-time-separable graph Convolutional Network (STS-GCN) is a conventional mathematical model for human motion prediction. However, the uncert...

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Bibliographic Details
Main Authors:	Rui Li, Duo He, Shiqiang Yang, An Yan, Xin Zeng, Dexin Li
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Series:	IEEE Access
Subjects:	Human motion prediction decoder STS-GCN GRU
Online Access:	https://ieeexplore.ieee.org/document/10286821/

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