This research is intended to create a prototype to generate controllable finger movement of a robotic prosthetic hand using Electromyography (EMG) signals. The instrumentation used in this project includes a Bitalino bio-signal sensor kit, skin electrodes, Arduino Uno microcontroller and a prosthetic hand. The Bitalino’s primary function is to serve as a means to obtain the EMG signal. The Arduino Uno’s function is to implement the control algorithm and actuate the robotic hand to move as intended. Using an EMG signal based counter, the method of control deemed fairly reliable since there was proportional control over the hand but it was based on the duration of the muscle in tension rather than how tense the muscle was. The overall control of the hand was generally responsive to the biological signal.
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ASME 2018 International Mechanical Engineering Congress and Exposition
November 9–15, 2018
Pittsburgh, Pennsylvania, USA
Conference Sponsors:
- ASME
ISBN:
978-0-7918-5203-3
PROCEEDINGS PAPER
Control of a Robotic Prosthetic Hand Using an EMG Signal Based Counter
Kyle Stanek,
Kyle Stanek
Wilkes University, Wilkes-Barre, PA
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Nathan Barnhart,
Nathan Barnhart
Wilkes University, Wilkes-Barre, PA
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Yong Zhu
Yong Zhu
Wilkes University, Wilkes-Barre, PA
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Kyle Stanek
Wilkes University, Wilkes-Barre, PA
Nathan Barnhart
Wilkes University, Wilkes-Barre, PA
Yong Zhu
Wilkes University, Wilkes-Barre, PA
Paper No:
IMECE2018-86032, V04AT06A008; 6 pages
Published Online:
January 15, 2019
Citation
Stanek, K, Barnhart, N, & Zhu, Y. "Control of a Robotic Prosthetic Hand Using an EMG Signal Based Counter." Proceedings of the ASME 2018 International Mechanical Engineering Congress and Exposition. Volume 4A: Dynamics, Vibration, and Control. Pittsburgh, Pennsylvania, USA. November 9–15, 2018. V04AT06A008. ASME. https://doi.org/10.1115/IMECE2018-86032
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