Prastuti Shivam and Nayan M. Kakoty and M.B. Malarvili and Prihartini Widiyanti (2019) Finger Movement Recognition based on Muscle Synergy using Electromyogram. In: 2019 IEEE Region 10 Humanitarian Technology Conference. IEEE.org, Depok, pp. 93-98. ISBN 978-1-7281-0834-6

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Abstract

Motor functions of human hand during daily living activities involve multiple finger movements, which has not yet been fully explored for electromyogram (EMG) based prosthesis control. This paper presents a framework based on forearm muscle synergy for recognition of finger movement using four channel EMG. With five normal-limbed subjects, synergy of four forearm muscles was estimated for five finger movements through non-negative matrix factorization of EMG feature. Using leave-one-patient-out cross-validation, radial basis function support vector machine was implemented for recognition of finger movements. The framework exhibited an average recognition rate of 97%. This study offers feasibility of a finger movement recognition framework based on the inherent physiological mechanism of muscle synergy, which has potential for dexterous finger movement control in prosthetic hands

Item Type:	Book Section
Subjects:	Q Science > QC Physics > QC1-999 Physics
Divisions:	08. Fakultas Sains dan Teknologi > Tekno Biomedik
Creators:	Creators NIM Prastuti Shivam UNSPECIFIED Nayan M. Kakoty UNSPECIFIED M.B. Malarvili UNSPECIFIED Prihartini Widiyanti NIDN0022027505
Depositing User:	Mr Akhmad Nurfizal Reza
Date Deposited:	14 Mar 2021 14:08
Last Modified:	14 Mar 2021 14:08
URI:	http://repository.unair.ac.id/id/eprint/101202
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