Instinctive Real-time sEMG-based Control of Prosthetic Hand with Reduced Data Acquisition and Embedded Deep Learning Training
Zeyu Yang,Angus B. Clark,Digby Chappell,Nicolas Rojas,Zeyu Yang,Angus B. Clark,Digby Chappell,Nicolas Rojas
Achieving instinctive multi-grasp control of prosthetic hands typically still requires a large number of sensors, such as electromyography (EMG) electrodes mounted on a residual limb, that can be costly and time consuming to position, with their signals difficult to classify. Deep-learning-based EMG classifiers however have shown promising results over traditional methods, yet due to high computat...
