Performance Evaluation of Convolutional Neural Network for Hand Gesture Recognition Using EMG

Performance Evaluation of Convolutional Neural Network for Hand Gesture Recognition Using EMG

Electromyography (EMG) is a measure of electrical activity generated by the contraction of muscles. Non-invasive surface EMG (sEMG)-based pattern recognition methods have shown the potential for upper limb prosthesis control. However, it is still insufficient for natural control. Recent advancements...

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Bibliographic Details
Main Authors: Ali Raza Asif, Asim Waris, Syed Omer Gilani, Mohsin Jamil, Hassan Ashraf, Muhammad Shafique, Imran Khan Niazi
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Sensors
Subjects:
classification
deep learning
electromyography
machine learning
myoelectric control
prostheses
Online Access:https://www.mdpi.com/1424-8220/20/6/1642

Internet

https://www.mdpi.com/1424-8220/20/6/1642

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