High-Performance Surface Electromyography Armband Design for Gesture Recognition

High-Performance Surface Electromyography Armband Design for Gesture Recognition

Wearable surface electromyography (sEMG) signal-acquisition devices have considerable potential for medical applications. Signals obtained from sEMG armbands can be used to identify a person’s intentions using machine learning. However, the performance and recognition capabilities of commercially av...

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Bibliographic Details
Main Authors: Ruihao Zhang, Yingping Hong, Huixin Zhang, Lizhi Dang, Yunze Li
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Sensors
Subjects:
wearable device
acquisition system
surface electromyography (sEMG) signal
convolutional neural networks (CNNs)
gesture recognition
Online Access:https://www.mdpi.com/1424-8220/23/10/4940

Internet

https://www.mdpi.com/1424-8220/23/10/4940

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