A Novel Surface Electromyographic Signal-Based Hand Gesture Prediction Using a Recurrent Neural Network

Surface electromyographic signal (sEMG) is a kind of bioelectrical signal, which records the data of muscle activity intensity. Most sEMG-based hand gesture recognition, which uses machine learning as the classifier, depends on feature extraction of sEMG data. Recently, a deep leaning-based approach...

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Hlavní autoři:	Zhen Zhang, Changxin He, Kuo Yang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2020-07-01
Edice:	Sensors
Témata:	sEMG hand gesture prediction RNN myo armband
On-line přístup:	https://www.mdpi.com/1424-8220/20/14/3994
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