Subjects self-select forearm gestures identification based on post-processing and integrating sEMG sensors and AS
•The use of sEMG signals to recognize movement intention has important applications in artificial hand control and rehabilitation training for individuals with hemiplegia or muscle weakness. However, sEMG signals are weak and susceptible to external interference, which can limit their accuracy in re...
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Published in | Biomedical signal processing and control Vol. 85; p. 105023 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.08.2023
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Subjects | |
Online Access | Get full text |
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