A Machine Learning Processing Pipeline for Reliable Hand Gesture Classification of FMG Signals with Stochastic Variance

A Machine Learning Processing Pipeline for Reliable Hand Gesture Classification of FMG Signals with Stochastic Variance

ForceMyography (FMG) is an emerging competitor to surface ElectroMyography (sEMG) for hand gesture recognition. Most of the state-of-the-art research in this area explores different machine learning algorithms or feature engineering to improve hand gesture recognition performance. This paper propose...

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Bibliographic Details
Main Authors: Mohammed Asfour, Carlo Menon, Xianta Jiang
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sensors
Subjects:
force myography
hand gestures recognition
machine learning
data pre-processing
Online Access:https://www.mdpi.com/1424-8220/21/4/1504

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