Multiday EMG-Based Classification of Hand Motions with Deep Learning Techniques

Multiday EMG-Based Classification of Hand Motions with Deep Learning Techniques

Pattern recognition of electromyography (EMG) signals can potentially improve the performance of myoelectric control for upper limb prostheses with respect to current clinical approaches based on direct control. However, the choice of features for classification is challenging and impacts long-term...

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Bibliographic Details
Main Authors: Muhammad Zia ur Rehman, Asim Waris, Syed Omer Gilani, Mads Jochumsen, Imran Khan Niazi, Mohsin Jamil, Dario Farina, Ernest Nlandu Kamavuako
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Sensors
Subjects:
myocontrol
pattern recognition
electromyography
autoencoders
convolutional neural networks
multiday classification
MYO band
Online Access:http://www.mdpi.com/1424-8220/18/8/2497

Internet

http://www.mdpi.com/1424-8220/18/8/2497

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