Assessing Physical Rehabilitation Exercises using Graph Convolutional Network with Self-supervised regularization-Reference-Cited by-同舟云学术

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Assessing Physical Rehabilitation Exercises using Graph Convolutional Network with Self-supervised regularization

Published:2021-11-01 Issue: Volume: Page:
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Container-title:2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Du Chen,Graham Sarah,Depp Colin,Nguyen Truong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9629355/9629471/09629569.pdf?arnumber=9629569

Cited by 16 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. Enhancing Physical Therapy Through Transformer-Based Models: A Study on Exercise Classification;2024 Intelligent Methods, Systems, and Applications (IMSA);2024-07-13

2. A single camera based automatic movement assessment system to rehabilitation exercise therapy;2024 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA);2024-06-14

3. Physical Rehabilitation Exercises Classification Using Deep Learning Models;2024 14th International Conference on Electrical Engineering (ICEENG);2024-05-21

4. Attention-enhanced graph convolutional network for assessing rehabilitation exercises;International Workshop on Advanced Imaging Technology (IWAIT) 2024;2024-05-02

5. AI in Rehabilitation Medicine: Opportunities and Challenges;Annals of Rehabilitation Medicine;2023-12-31

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