Improving robotic hand control via adaptive Fuzzy-PI controller using classification of EMG signals

Improving robotic hand control via adaptive Fuzzy-PI controller using classification of EMG signals

Robotic or prosthetic organs are designed to have the maximum similarity to human organs. This paper aims to improve robotic hand control via an adaptive Fuzzy-PI controller using EMG signals. The data is collected from the FDS and FPL muscles of the forearm of five individuals who performed eight m...

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Bibliographic Details
Main Authors: Mahsa Barfi, Hamidreza Karami, Fatemeh Faridi, Zahra Sohrabi, Manouchehr Hosseini
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Heliyon
Subjects:
Electromyography
Robotic hand
Fuzzy control
Fifteen degrees of freedom robot
k-nearest neighbors
Support vector machine
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844022032194

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http://www.sciencedirect.com/science/article/pii/S2405844022032194

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