A Systematic Literature Review of Optimization Methods in Skeleton-Based Human Action Recognition

Skeleton-based human action recognition (HAR) has become a prevalent topic in the field of computer vision due to its ability to widely use in different applications such as video surveillance, healthcare monitoring, sport analysis, and human computer interaction. Over the past decade, researchers h...

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Bibliographic Details
Published in:IEEE Access
Main Authors: Jen-Li Chung, Lee-Yeng Ong, Meng-Chew Leow
Format: Article
Language:English
Published: IEEE 2025-01-01
Subjects:
Attention mechanism
fusion strategy
human action recognition
optimization
skeleton
Online Access:https://ieeexplore.ieee.org/document/11072134/

Internet

https://ieeexplore.ieee.org/document/11072134/

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