DeepBBWAE-Net: A CNN-RNN Based Deep SuperLearner for Estimating Lower Extremity Sagittal Plane Joint Kinematics Using Shoe-Mounted IMU Sensors in Daily Living-Reference-Cited by-同舟云学术

DeepBBWAE-Net: A CNN-RNN Based Deep SuperLearner for Estimating Lower Extremity Sagittal Plane Joint Kinematics Using Shoe-Mounted IMU Sensors in Daily Living

Published:2022-08 Issue:8 Volume:26 Page:3906-3917
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Hossain Md Sanzid Bin¹^ORCID,Dranetz Joseph²,Choi Hwan²^ORCID,Guo Zhishan¹^ORCID

Affiliation:

1. Electrical and Computer Engineering Department, University of Central Florida, Orlando, FL, USA

2. Mechanical and Aerospace Engineering Department, University of Central Florida, Orlando, FL, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/9855434/09750553.pdf?arnumber=9750553

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