Finger Movement Recognition based on Muscle Synergy using Electromyogram

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., Depok, pp. 93-98. ISBN 978-1-7281-0834-6

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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
Prastuti ShivamUNSPECIFIED
Prihartini WidiyantiNIDN0022027505
Depositing User: Mr Akhmad Nurfizal Reza
Date Deposited: 14 Mar 2021 14:08
Last Modified: 14 Mar 2021 14:08
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