Recognition of Endotracheal Suctioning Activities: A Feature Extraction and Ensemble Learning Approach Based on Pose Estimation Data-Reference-Cited by-同舟云学术

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Recognition of Endotracheal Suctioning Activities: A Feature Extraction and Ensemble Learning Approach Based on Pose Estimation Data

Published:2024-05-29 Issue: Volume:2024 Page:1-9
ISSN:
Container-title:2024 International Conference on Activity and Behavior Computing (ABC)
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Author:

Phan Hoang Khang¹,Khang Nguyen Tu Nhat²,Vi Bui Truong²,Nguyen Khuong Cong Duy²,Nguyen Tuan Phong¹,Le Nhat Tan¹

Affiliation:

1. Ho Chi Minh city University of Technology-Vietnam National University,Dept. of Biomedical Engineering,Ho Chi Minh City,Vietnam

2. Ho Chi Minh city University of Technology-Vietnam National University,Dept. of Computer Science and Engineering,Ho Chi Minh City,Vietnam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649890/10651639/10651640.pdf?arnumber=10651640

Reference16 articles.

1. S. Summary of the Nurse Care Activity Recognition Challenge Using Skelton Data from Video with Generative AI;Ngo;International Journal Of Activity And Behavior Computing,2024

2. Toward Recognizing Nursing Activity in Endotracheal Suctioning Using Video-based Pose Estimation;Ngo;International Journal of Activity and Behavior Computing,2024

3. An Interactive Endotracheal Suctioning Simulator Which Exhibits Vital Reactions: ESTE-SIM

4. Human action recognition based on 3D skeleton part-based pose estimation and temporal multi-resolution analysis

5. Sample Fusion Network: An End-to-End Data Augmentation Network for Skeleton-Based Human Action Recognition

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