A single camera based automatic movement assessment system to rehabilitation exercise therapy-Reference-Cited by-同舟云学术

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A single camera based automatic movement assessment system to rehabilitation exercise therapy

Published:2024-06-14 Issue: Volume:3 Page:1-5
ISSN:
Container-title:2024 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)
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Author:

Yang Shuoheng¹,Li Xiaodong²,Xu Zhuoman³,Fan Yunli³,Hu Yong¹

Affiliation:

1. The University of Hong,Department of Orthopaedics and Traumatology,Kong Hong Kong,China

2. The University of Hong Kong - Shenzhen Hospital,Orthopedics Center,Shenzhen,China

3. The University of Hong Kong - Shenzhen Hospital,Department of Physiotherapy,Shenzhen,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10586233/10586443/10586470.pdf?arnumber=10586470

Reference20 articles.

1. LogRF: An Approach to Human Pose Estimation Using Skeleton Landmarks for Physiotherapy Fitness Exercise Correction

2. Computer Vision & Deep Learning based Realtime and Pre-Recorded Human Pose Estimation

3. Short: Deep Learning Approach to Skeletal Performance Evaluation of Physical Therapy Exercises

4. Yoga pose detection and classification using machine learning techniques;Bahukhandi;Int Res J Mod Eng Technol Sci,2021

5. The KIMORE Dataset: KInematic Assessment of MOvement and Clinical Scores for Remote Monitoring of Physical REhabilitation

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