POSEACTION: ACTION RECOGNITION FOR PATIENTS IN THE WARD USING DEEP LEARNING APPROACHES

Master's

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Bibliographic Details
Main Author:	LI ZHERUI
Other Authors:	BIOMEDICAL ENGINEERING
Format:	Theses and Dissertations
Language:	English
Published:	2023
Subjects:	Action recognition, Deep learning, PoseAction, Ward, Computer Vision, Patient
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/245539
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-245539
record_format	dspace
spelling	sg-nus-scholar.10635-2455392023-10-25T18:01:41Z POSEACTION: ACTION RECOGNITION FOR PATIENTS IN THE WARD USING DEEP LEARNING APPROACHES LI ZHERUI BIOMEDICAL ENGINEERING Chen Hua Yeow Action recognition, Deep learning, PoseAction, Ward, Computer Vision, Patient Master's MASTER OF ENGINEERING (CDE) 2023-10-25T18:01:41Z 2023-10-25T18:01:41Z 2023-07-06 Thesis LI ZHERUI (2023-07-06). POSEACTION: ACTION RECOGNITION FOR PATIENTS IN THE WARD USING DEEP LEARNING APPROACHES. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/245539 0000-0001-7992-9995 en
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	Action recognition, Deep learning, PoseAction, Ward, Computer Vision, Patient
spellingShingle	Action recognition, Deep learning, PoseAction, Ward, Computer Vision, Patient LI ZHERUI POSEACTION: ACTION RECOGNITION FOR PATIENTS IN THE WARD USING DEEP LEARNING APPROACHES
description	Master's
author2	BIOMEDICAL ENGINEERING
author_facet	BIOMEDICAL ENGINEERING LI ZHERUI
format	Theses and Dissertations
author	LI ZHERUI
author_sort	LI ZHERUI
title	POSEACTION: ACTION RECOGNITION FOR PATIENTS IN THE WARD USING DEEP LEARNING APPROACHES
title_short	POSEACTION: ACTION RECOGNITION FOR PATIENTS IN THE WARD USING DEEP LEARNING APPROACHES
title_full	POSEACTION: ACTION RECOGNITION FOR PATIENTS IN THE WARD USING DEEP LEARNING APPROACHES
title_fullStr	POSEACTION: ACTION RECOGNITION FOR PATIENTS IN THE WARD USING DEEP LEARNING APPROACHES
title_full_unstemmed	POSEACTION: ACTION RECOGNITION FOR PATIENTS IN THE WARD USING DEEP LEARNING APPROACHES
title_sort	poseaction: action recognition for patients in the ward using deep learning approaches
publishDate	2023
url	https://scholarbank.nus.edu.sg/handle/10635/245539
_version_	1781793632254164992

POSEACTION: ACTION RECOGNITION FOR PATIENTS IN THE WARD USING DEEP LEARNING APPROACHES

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