Improved Network and Training Scheme for Cross-Trial Surface Electromyography (sEMG)-Based Gesture Recognition
To enhance the performance of surface electromyography (sEMG)-based gesture recognition, we propose a novel network-agnostic two-stage training scheme, called <i>sEMGPoseMIM</i>, that produces trial-invariant representations to be aligned with corresponding hand movements via cross-modal...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-09-01
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Series: | Bioengineering |
Subjects: | |
Online Access: | https://www.mdpi.com/2306-5354/10/9/1101 |