LSTM-AE for Domain Shift Quantification in Cross-Day Upper-Limb Motion Estimation Using Surface Electromyography
Although deep learning (DL) techniques have been extensively researched in upper-limb myoelectric control, system robustness in cross-day applications is still very limited. This is largely caused by non-stable and time-varying properties of surface electromyography (sEMG) signals, resulting in doma...
Saved in:
Main Authors: | Tianzhe Bao (Author), Chao Wang (Author), Pengfei Yang (Author), Sheng Quan Xie (Author), Zhi-Qiang Zhang (Author), Ping Zhou (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
-
Continuous Motion Intention Prediction Using sEMG for Upper-Limb Rehabilitation: A Systematic Review of Model-Based and Model-Free Approaches
by: Zijun Wei, et al.
Published: (2024) -
Assessing the Effect of Cervical Transcutaneous Spinal Stimulation With an Upper Limb Robotic Exoskeleton and Surface Electromyography
by: Erin E. Mahan, et al.
Published: (2024) -
An Upper Limb Exoskeleton Motion Generation Algorithm Based on Separating Shoulder and Arm Motion
by: Jiajia Wang, et al.
Published: (2024) -
Analysis of lower limb during squat activity using surface electromyography
by: Ardhi Mardiyanto Indra Purnomo, et al.
Published: (2023) -
Surface electromyography character of upper limb muscle after open reduction combine with ulnar osteotomy in children with neglected Monteggia fracture
by: Hailing Qiu, et al.
Published: (2024)