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Fuzzy Logic and PD Control Strategies of a Three-Phase Electric Arc Furnace Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Bionic Hand Control in Real-Time Based on Electromyography Signal Analysis

Authors : Martin Tabakov, Krzysztof Fonal, Raed A. Abd-Alhameed, Rami Qahwaji

Published in: Transactions on Computational Collective Intelligence XXIX

Publisher: Springer International Publishing

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Abstract

In this paper fuzzy type-1 and type-2 models for control of bionic hand in real-time are proposed. The control process involves interpretation and analysis of surface electromyography signal (sEMG) acquired from patients with amputees. In the provided experiments, we assume the use of force sensing resistor to achieve better control of the bionic hand being modeled. The classical type-1 Mamdani control as well as the extended type-2 fuzzy models are considered for this application. The conducted experiments show comparable results with respect to applied assumptions that give the confidence to implement the proposed concept into real-time control process.

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Metadata
Title
Bionic Hand Control in Real-Time Based on Electromyography Signal Analysis
Authors
Martin Tabakov
Krzysztof Fonal
Raed A. Abd-Alhameed
Rami Qahwaji
Copyright Year
2018
Book
Transactions on Computational Collective Intelligence XXIX

Print ISBN: 978-3-319-90286-9

Electronic ISBN: 978-3-319-90287-6

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-90287-6_2

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