BlazePose-Seq2Seq: Leveraging Regular RGB Cameras for Robust Gait Assessment-Reference-Cited by-同舟云学术

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BlazePose-Seq2Seq: Leveraging Regular RGB Cameras for Robust Gait Assessment

Published:2024 Issue: Volume:32 Page:1715-1724
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Hulleck Abdul Aziz¹^ORCID,AlShehhi Aamna²^ORCID,El Rich Marwan¹^ORCID,Khan Raviha³,Katmah Rateb²^ORCID,Mohseni Mahdi⁴^ORCID,Arjmand Navid⁴,Khalaf Kinda²^ORCID

Affiliation:

1. Department of Mechanical Engineering, Khalifa University, Abu Dhabi, UAE

2. Department of Biomedical Engineering, Khalifa University, Abu Dhabi, UAE

3. Department of Electrical Engineering, Khalifa University, Abu Dhabi, UAE

4. Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran

Funder

Healthcare Engineering and Innovation Center Khalifa University, United Arab Emirates

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7333/10398877/10506662.pdf?arnumber=10506662

Reference41 articles.

1. Present and future of gait assessment in clinical practice: Towards the application of novel trends and technologies

2. mmPose-NLP: A Natural Language Processing Approach to Precise Skeletal Pose Estimation Using mmWave Radars

3. Realtime multi-person 2D pose estimation using part affinity fields;Cao;arXiv:1611.08050,2016

4. Analysis of Gait Characteristics of Patients with Knee Arthritis Based on Human Posture Estimation

5. DeepLabCut: markerless pose estimation of user-defined body parts with deep learning

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