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This paper proposes two kinematic based task classification methods to aid control of a transhumerai prosthesis. The first method is a neural network based classifier where the angles of shoulder flexion/extension, shoulder abduction/adduction and elbow flexion/extension are considered. The angular values with their first and second derivatives are obtained to train the robotic arm for a selected...
Control of transhumeral prosthetic devices can effectively be performed using the predicted joint torques at the elbow. The joint torque values are generally predicted using the Electromyography (EMG) signals taken from upper arm muscles of the amputee. This paper uses a Bagnoli-16 EMG system to extract EMG signals from the biceps and triceps. The EMG signals are complex to handle mainly due to the...
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