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...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10286821/ |