TY - GEN
T1 - Finger movement recognition based on muscle synergy using electromyogram
AU - Shivam, Prastuti
AU - Kakoty, Nayan M.
AU - Malarvili, M. B.
AU - Widiyanti, Prihartini
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85083029198&partnerID=8YFLogxK
U2 - 10.1109/R10-HTC47129.2019.9042432
DO - 10.1109/R10-HTC47129.2019.9042432
M3 - Conference contribution
AN - SCOPUS:85083029198
T3 - IEEE Region 10 Humanitarian Technology Conference, R10-HTC
BT - Proceedings of 2019 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2019
Y2 - 12 November 2019 through 14 November 2019
ER -
