The Impact of Feature Extraction on Classification Accuracy Examined by Employing a Signal Transformer to Classify Hand Gestures Using Surface Electromyography Signals

The Impact of Feature Extraction on Classification Accuracy Examined by Employing a Signal Transformer to Classify Hand Gestures Using Surface Electromyography Signals

Interest in developing techniques for acquiring and decoding biological signals is on the rise in the research community. This interest spans various applications, with a particular focus on prosthetic control and rehabilitation, where achieving precise hand gesture recognition using surface electro...

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Bibliographic Details
Main Authors: Aly Medhat Moslhi, Hesham H. Aly, Medhat ElMessiery
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Sensors
Subjects:
surface electromyography
EMG
transformer
feature extraction
hand gesture recognition
Online Access:https://www.mdpi.com/1424-8220/24/4/1259

Internet

https://www.mdpi.com/1424-8220/24/4/1259

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