Multiview Video-Based 3-D Pose Estimation of Patients in Computer-Assisted Rehabilitation Environment (CAREN)-Reference-Cited by-同舟云学术

Multiview Video-Based 3-D Pose Estimation of Patients in Computer-Assisted Rehabilitation Environment (CAREN)

Published:2022-04 Issue:2 Volume:52 Page:196-206
ISSN:2168-2291
Container-title:IEEE Transactions on Human-Machine Systems
language:
Short-container-title:IEEE Trans. Human-Mach. Syst.

Author:

Xu Wei¹^ORCID,Xiang Donghai¹,Wang Guotai¹^ORCID,Liao Ruisong²,Shao Ming³^ORCID,Li Kang⁴^ORCID

Affiliation:

1. School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China

2. Sichuan Ba-Yi Rehabilitation Center of Chengdu University of TCM, Chengdu, China

3. Department of Neurological Rehabilitation, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China

4. West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China

Funder

Sichuan University

National Key Research and Development Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Signal Processing,Control and Systems Engineering,Human Factors and Ergonomics

Link

http://xplorestaging.ieee.org/ielx7/6221037/9736420/09693917.pdf?arnumber=9693917

Reference43 articles.

1. Thickened 2D networks for efficient 3D medical image segmentation;yu,2019

2. A Simple Yet Effective Baseline for 3d Human Pose Estimation

3. Anatomy-aware 3D human pose estimation in videos;chen,2020

4. Epipolar Transformers

5. DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image

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