2023
DOI: 10.1021/acsami.2c21354
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High-Fidelity sEMG Signals Recorded by an on-Skin Electrode Based on AgNWs for Hand Gesture Classification Using Machine Learning

Abstract: The human forearm is one of the most densely distributed parts of the human body, with the most irregular spatial distribution of muscles. A number of specific forearm muscles control hand motions. Acquiring high-fidelity sEMG signals from human forearm muscles is vital for human-machine interface (HMI) applications based on gesture recognition. Currently, the most commonly used commercial electrodes for detecting sEMG or other electrophysiological signals have a rigid nature without stretchability and cannot … Show more

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Cited by 5 publications
(1 citation statement)
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“…However, manufacturing flexible devices on porous substrates still requires specialized equipment and complex procedures [28][29][30]. Another design employs elastic membranes to construct breathable epidermal electronic devices [31][32][33][34]. Elastic materials are not ideal barriers for gas molecules due to their abundant free volume [35][36][37][38][39].…”
Section: Introductionmentioning
confidence: 99%
“…However, manufacturing flexible devices on porous substrates still requires specialized equipment and complex procedures [28][29][30]. Another design employs elastic membranes to construct breathable epidermal electronic devices [31][32][33][34]. Elastic materials are not ideal barriers for gas molecules due to their abundant free volume [35][36][37][38][39].…”
Section: Introductionmentioning
confidence: 99%