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Techniques of Electromyogram EMG signal: grasping operations for a prosthetic arm

fajar nur ali, Farrukh hussain

Abstract


This paper gives classification of grasp sorts primarily based on surface electromyographic alerts. classification is thru radial foundation feature kernel help vector system the use of sum of wavelet decomposition coefficients of the EMG alerts. Examine concerning six subjects, we performed an average reputation price of 86%. The electromyographic grasp reputation collectively with a eight-bit microcontroller has been employed to manipulate a five fingered robot hand to emulate six hold close sorts used at some point of 70% daily residing sports.


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References


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