POSEACTION: ACTION RECOGNITION FOR PATIENTS IN THE WARD USING DEEP LEARNING APPROACHES
Master's
Saved in:
Main Author: | LI ZHERUI |
---|---|
Other Authors: | BIOMEDICAL ENGINEERING |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/245539 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Language: | English |
Similar Items
-
TRANSFORMER TECHNIQUES FOR HUMAN ACTION RECOGNITION AND LOCALIZATION
by: CHANG SHUNING
Published: (2024) -
Deep historical long short-term memory network for action recognition
by: Cai, Jiaxin, et al.
Published: (2022) -
Towards efficient video-based action recognition: context-aware memory attention network
by: Koh, Thean Chun, et al.
Published: (2024) -
Multimodal multipart learning for action recognition in depth videos
by: Shahroudy, Amir, et al.
Published: (2018) -
Learning to share latent tasks for action recognition
by: Zhou, Q., et al.
Published: (2014)