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

• Main Authors: Liu, Jun, Wang, Gang, Duan, Ling-Yu, Abdiyeva, Kamila, Kot, Alex Chichung
• Other Authors: School of Electrical and Electronic Engineering
• Format: 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
• Institution: Nanyang Technological University

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...