Minimum Mapping from EMG Signals at Human Elbow and Shoulder Movements into Two DoF Upper-Limb Robot with Machine Learning

Minimum Mapping from EMG Signals at Human Elbow and Shoulder Movements into Two DoF Upper-Limb Robot with Machine Learning

This research focuses on the minimum process of classifying three upper arm movements (elbow extension, shoulder extension, combined shoulder and elbow extension) of humans with three electromyography (EMG) signals, to control a 2-degrees of freedom (DoF) robotic arm. The proposed minimum process co...

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Bibliographic Details
Main Authors: Pringgo Widyo Laksono, Takahide Kitamura, Joseph Muguro, Kojiro Matsushita, Minoru Sasaki, Muhammad Syaiful Amri bin Suhaimi
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Machines
Subjects:
electromyography (EMG)
upper-limb motion
machine-learning
robot arm control
Online Access:https://www.mdpi.com/2075-1702/9/3/56

Internet

https://www.mdpi.com/2075-1702/9/3/56

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