Fine grip control of robotic EMG-based prosthetic fingers скачать в хорошем качестве

Fine grip control of robotic EMG-based prosthetic fingers

This video presents the design and implementation of a two channel surface electromyography (EMG) based real time processing system that is used in conjuction with a robotic hand. The combined system is intended for below-the-elbow amputees and thus uses upper arm myoelectric signals to trigger fine grips at the hand. The presented system samples, conditions and processe the EMG signals and using a smart algorithm elicits either Tripod Pinch, Tip Pinch or Fist grip hand responses. System tests show grip identification accuracies of 94.5 % and 95.34 % for seated and standing positions and average grip durations of 11.25, 8.5 and 1.5 minutes for the three aforementioned grips. With these performance statistics, the system is able to trigger the hand to hold a pen, marble and coin for prolonged periods of time. Student names: Luka Cakic and Matthew Marsden Supervisor name: Mr Abdul-Khaaliq Mohamed