Context-Informed Incremental Learning Improves Throughput and Reduces Drift in Regression-Based Myoelectric Control
Despite decades of research, commercially available powered myoelectric prostheses continue to use sequential, classification-based control. While regression-based approaches can improve the dexterity offered through simultaneous, independent, and proportional control, current training protocols lac...
Saved in:
| Main Authors: | Christian Morrell, Evan Campbell, Ethan Eddy, Erik Scheme |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10988608/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Screen Guided Training Does Not Capture Goal-Oriented Behaviors: Learning Myoelectric Control Mappings From Scratch Using Context Informed Incremental Learning
by: Evan Campbell, et al.
Published: (2025-01-01) -
Mapping Individual Motor Unit Activity to Continuous Three-DoF Wrist Torques: Perspectives for Myoelectric Control
by: Chen Chen, et al.
Published: (2023-01-01) -
Immediate Effects of Combined Stretching Protocols on Scapular Myoelectric Activity and Kinematics in Gymnasts
by: omid kazemi, et al.
Published: (2025-09-01) -
Reduce the User Burden of Multiuser Myoelectric Interface via Few-Shot Domain Adaptation
by: Bo Xue, et al.
Published: (2023-01-01) -
The Effect of Head Posture on Myoelectric Activity of Some Scapular Muscles in Arm Abduction
by: Azam Mohmoodpoor, et al.
Published: (2014-04-01)