Classification of SEMG Signal Based Hand Movements by Using Support Vector Machine

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Classification of SEMG Signal Based Hand Movements by Using Support Vector Machine

This paper explores the application of Surface Electromyography (SEMG) for hand movement classification using machine learning techniques. SEMG signals play a crucial role in sports medicine, rehabilitation, prosthesis control, and medical diagnosis. The study addresses a multi-class problem, extend...

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Bibliographic Details
Published in:	2024 6th IEEE Symposium on Computers and Informatics, ISCI 2024
Main Author:	Zahra S.R.; Ismail S.; Ali M.D.; Khan M.A.; Darus M.Y.; Mazhar T.
Format:	Conference paper
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204966474&doi=10.1109%2fISCI62787.2024.10668378&partnerID=40&md5=8b624b34f6e7f56544066f5b821a32dc

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