A robust and efficient method for skeleton‐based human action recognition and its application for cross‐dataset evaluation

Author:

Nguyen Tien‐Thanh12,Pham Dinh‐Tan23,Vu Hai12,Le Thi‐Lan12ORCID

Affiliation:

1. School of Electrical and Electronic Engineering (SEEE) Hanoi University of Science and Technology Hanoi Vietnam

2. Computer Vision Department MICA International Research Institute Hanoi University of Science and Technology Hanoi Vietnam

3. Faculty of IT Hanoi University of Mining and Geology Hanoi Vietnam

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Sharing-Net: Lightweight feedforward network for skeleton-based action recognition based on information sharing mechanism;Pattern Recognition;2024-02

2. Action Recognition for Privacy-Preserving Ambient Assisted Living;Lecture Notes in Computer Science;2024

3. A Business Process for Detecting Facial Movements and Emotions Using Deep Learning Techniques;2023 International Conference on Electrical, Communication and Computer Engineering (ICECCE);2023-12-30

4. A Dynamic Model for the Computation of Gesture Types for Image-based Software Agents;網際網路技術學刊;2023-12

5. Accurate continuous action and gesture recognition method based on skeleton and sliding windows techniques;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

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