Finger Movement Recognition based on Muscle Synergy using Electromyogram

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 chann...

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Bibliographic Details
Main Authors: Shivam, Prastuti, Kakoty, Nayan M., Malarvili, MB, Widiyanti, Prihartini
Format: Conference Proceeding
Language:English
Online Access:Request full text
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Summary: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.
ISSN:2572-7621
DOI:10.1109/R10-HTC47129.2019.9042432