A Novel Dual-Model Adaptive Continuous Learning Strategy for Wrist-sEMG Real-Time Gesture Recognition

A Novel Dual-Model Adaptive Continuous Learning Strategy for Wrist-sEMG Real-Time Gesture Recognition

Surface electromyography (sEMG) is a promising technology for hand gesture recognition, yet faces challenges in user mobility and individual calibration. This paper introduces a novel dual-model adaptive continuous learning (DM-ACL) strategy for wrist-based sEMG real-time gesture recognition. The co...

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Bibliographic Details
Main Authors: Yuehan Liu, Ruxin Wang, Ye Li, Yishan Wang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Continuous learning
CNN-LSTM
gesture recognition
sEMG
semi-supervised learning
Online Access:https://ieeexplore.ieee.org/document/10758785/
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https://ieeexplore.ieee.org/document/10758785/

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