sEMG-Based Adaptive Cooperative Multi-Mode Control of a Soft Elbow Exoskeleton Using Neural Network Compensation
Soft rehabilitation exoskeletons have gained much attention in recent years, striving to assist the paralyzed individuals restore motor functions. However, it is a challenge to promote human-robot interaction property and satisfy personalized training requirements. This article proposes a soft elbow...
Saved in:
Main Authors: | Qingcong Wu (Author), Zhijie Wang (Author), Ying Chen (Author) |
---|---|
Format: | Book |
Published: |
IEEE,
2023-01-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
sEMG-Triggered Fast Assistance Strategy for a Pneumatic Back Support Exoskeleton
by: Ung Heo, et al.
Published: (2022) -
Multi-Channel FES Gait Rehabilitation Assistance System Based on Adaptive sEMG Modulation
by: Chunfu Lu, et al.
Published: (2023) -
Effect Analysis of Wearing an Lumbar Exoskeleton on Coordinated Activities of the Low Back Muscles Using sEMG Topographic Maps
by: Naifu Jiang, et al.
Published: (2024) -
Development of a High-SNR Stochastic sEMG Processor in a Multiple Muscle Elbow Joint
by: Handdeut Chang, et al.
Published: (2023) -
Recurrent Neural Network Enabled Continuous Motion Estimation of Lower Limb Joints From Incomplete sEMG Signals
by: Gang Wang, et al.
Published: (2024)