Rehabilitation Exercise Repetition Segmentation and Counting Using Skeletal Body Joints-Reference-Cited by-同舟云学术

Rehabilitation Exercise Repetition Segmentation and Counting Using Skeletal Body Joints

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 20th Conference on Robots and Vision (CRV)
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Author:

Abedi Ali¹,Bisht Paritosh²,Chatterjee Riddhi²,Agrawal Rachit²,Sharma Vyom²,Jayagopi Dinesh Babu²,Khan Shehroz S.¹

Affiliation:

1. KITE Research Institute - Toronto Rehabilitation Institute, University Health Network,Canada

2. International Institute of Information Technology,Multimodal Perception Lab,Bangalore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10229810/10227862/10229850.pdf?arnumber=10229850

Reference36 articles.

1. Online segmentation of human motion for automated rehabilitation exercise analysis;jonathan feng-shun;IEEE Transactions on Neural Systems and Rehabilitation Engineering,2013

2. Human motion segmentation by data point classification;jonathan feng-shun;2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society,0

3. Mm-fit: Multimodal deep learning for automatic exercise logging across sensing devices;david;Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies,0

4. Recognition and repetition counting for complex physical exercises with deep learning;andrea;SENSORS,2019

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