International Journal of Advanced Science Computing and Engineering
Vol 4, No 3 (2022)

Classification of Finger Movements Using EMG Signals with PSO SVM Algorithm

Daniel Sutopo Pamungkas (Electrical Departement Politeknik Negeri Batam, Batam, Indonesia)
Sumantri K Risandriya (Electrical Departement Politeknik Negeri Batam, Batam, Indonesia)
Adam Rahman (Electrical Departement Politeknik Negeri Batam, Batam, Indonesia)

Article Info

Publish Date
27 Dec 2022

Abstract

Electromyography (EMG) is a signal produced by human muscles when they contract or relax. This signal is widely used as a controller, for example, to control a robotic arm. This study aims to identify the pattern of finger movement in the form of finger movement using a bracelet-shaped device that has eight EMG sensors. This tool is placed on the lower right hand of a subject to get a signal from the EMG. This study uses the support vector machine (SVM) algorithm combined with the particle swarm optimization (PSO) method. For pattern recognition, the properties of the signal in the time domain are used. From this system, the success of pattern recognition is between 68% to 86%.

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Journal Info
International Journal of Advanced Science Computing and Engineering
Website

Abbrev

IJASCE

Publisher

Society of Visual Informatics

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Description

The journal scopes include (but not limited to) the followings: Computer Science : Artificial Intelligence, Data Mining, Database, Data Warehouse, Big Data, Machine Learning, Operating System, Algorithm Computer Engineering : Computer Architecture, Computer Network, Computer Security, Embedded ...