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This paper proposes a two phase strategy in myoelectric control of upper limb which benefits from strength of two common myoelectric interface methods. The aim of this research is to create a mapping between electrical activities of muscles known as electromyogram (EMG) signals and kinematics of corresponding joint. Activations of main muscles responsible for 3 DOFs of shoulder were recorded. According...
This paper proposes a combinatorial strategy for myoelectric control of robotic arm. Activation of main muscles responsible for 1 DOF of elbow joint is recorded. The goal was to create a mapping between muscles' Surface Electromyogram (sEMG) data and kinematics of the joints. The proposed strategy includes two main phases. In the first phase, Linear Discriminant Analysis (LDA) was utilized to classify...
Myoelectric control has a key role in human-machine interface applications such as orthosis control and teleoperation. Myoelectric signals are bio signals that are detectable from surface of the skin, and contain useful information about user's moving intention. This paper presents a methodology to estimate elbow joint angle from muscle's data using neural network (NN). Proposed methodology can be...
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