Depth-aware pose estimation using deep learning for exoskeleton gait analysis
Abstract In rehabilitation medicine, real-time analysis of the gait for human wearing lower-limb exoskeleton rehabilitation robot during walking can effectively prevent patients from experiencing excessive and asymmetric gait during rehabilitation training, thereby avoiding falls or even secondary i...
Main Authors: | Yachun Wang, Zhongcai Pei, Chen Wang, Zhiyong Tang |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-12-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-50207-z |
Similar Items
-
Design and Analysis of a Lower Limb Loadbearing Exoskeleton
by: Qiying Su, et al.
Published: (2022-10-01) -
RGB-D-Based Stair Detection and Estimation Using Deep Learning
by: Chen Wang, et al.
Published: (2023-02-01) -
Tracking Control for a Lower Extremity Exoskeleton Based on Adaptive Dynamic Programing
by: Qiying Su, et al.
Published: (2023-08-01) -
Nonlinear Control of a Hydraulic Exoskeleton 1-DOF Joint Based on a Hardware-In-The-Loop Simulation
by: Qiying Su, et al.
Published: (2022-07-01) -
Deep learning-based approaches for depth and 6-DoF pose estimation
by: Lin, Muyuan(Scientist in mechanical engineering)Massachusetts Institute of Technology.
Published: (2020)