Adaptive EMG Pattern Classification via Probabilistic Knowledge Transfer With Scale Mixture-Based Bayesian Sequential Learning
Electromyogram (EMG) signals, measured non-invasively from the skin surface, reflect human motion intentions and enable device control through pattern classification, particularly in applications such as myoelectric prostheses. However, continuous use of EMG-based interfaces remains challenging due...
Saved in:
| Main Authors: | , |
|---|---|
| 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/11079723/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|