Skeleton-based human action recognition with global context-aware attention LSTM networks

Skeleton-based human action recognition with global context-aware attention LSTM networks

Human action recognition in 3D skeleton sequences has attracted a lot of research attention. Recently, long short-term memory (LSTM) networks have shown promising performance in this task due to their strengths in modeling the dependencies and dynamics in sequential data. As not all skeletal joints...

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Bibliographic Details
Main Authors: Liu, Jun, Wang, Gang, Duan, Ling-Yu, Abdiyeva, Kamila, Kot, Alex Chichung
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2020
Subjects:
Engineering::Computer science and engineering
Action Recognition
Long Short-term Memory
Online Access:https://hdl.handle.net/10356/142304

Internet

https://hdl.handle.net/10356/142304

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