Temporal-Channel Attention and Convolution Fusion for Skeleton-Based Human Action Recognition

Human Action Recognition (HAR) based on skeleton sequences has attracted much attention due to the robustness and background insensitivity of skeletal data. The convolutional neural network (CNN) for spatio-temporal representation learning has been widely utilized for skeleton-based HAR. However, th...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Chengwu Liang, Jie Yang, Ruolin Du, Wei Hu, Ning Hou
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Skeleton-based action recognition attention mechanism convolutional neural network multi-scale convolution
Online Access:	https://ieeexplore.ieee.org/document/10500435/