LibEMG: An Open Source Library to Facilitate the Exploration of Myoelectric Control
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, University of New Brunswick, Fredericton, Canada
2. Human-Computer Interaction Laboratory, University of New Brunswick, Fredericton, Canada
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10214558.pdf?arnumber=10214558
Reference93 articles.
1. The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges
2. Enhancing the robustness of EMG-PR based system against the combined influence of force variation and subject mobility;samuel;Proc 3rd Asia–Pacific Conf Intell Robot Syst (ACIRS),2018
3. Surface Electromyography (EMG) Signal Processing, Classification, and Practical Considerations
4. Time Derivative Moments Based Feature Extraction Approach for Recognition of Upper Limb Motions Using EMG
5. Motion Normalized Proportional Control for Improved Pattern Recognition-Based Myoelectric Control
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3. Discrete Gesture Recognition Using Multimodal PPG, IMU, and Single-Channel EMG Recorded at the Wrist;IEEE Sensors Letters;2024-09
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