Self-Recalibrating Surface EMG Pattern Recognition for Neuroprosthesis Control Based on Convolutional Neural Network
Hand movement classification based on surface electromyography (sEMG) pattern recognition is a promising approach for upper limb neuroprosthetic control. However, maintaining day-to-day performance is challenged by the non-stationary nature of sEMG in real-life operation. In this study, we propose a...
Main Authors: | Xiaolong Zhai, Beth Jelfs, Rosa H. M. Chan, Chung Tin |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2017-07-01
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Series: | Frontiers in Neuroscience |
Subjects: | |
Online Access: | http://journal.frontiersin.org/article/10.3389/fnins.2017.00379/full |
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