OWI-535 EDGE Robotic Arm Control using Electro Myo Gram (EMG) Signals
Shobhitha Ann Job1, R.Jegan2, Melwin Abraham C3
1Ms. Shobhitha Ann Job, Department of EIE, Karunya University, Coimbatore (Tamil Nadu), India.
2Mr. R Jegan, Department of EIE, Karunya, Coimbatore (Tamil Nadu), India.
3Mr. Melwin Abraham C, Department of EIE, Karunya University, Coimbatore (Tamil Nadu), India.
Manuscript received on 10 May 2013 | Revised Manuscript received on 18 May 2013 | Manuscript Published on 30 May 2013 | PP: 282-286 | Volume-2 Issue-6, May 2013 | Retrieval Number: F0851052613/13©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: As science advances day by day, people rely upon technology for their assistance. Compared to older days, people who are handicapped and who have disabilities of limbs due to old age have been increased today. Several availabilities have been introduced by the new technology to overcome this problem. One of the best options among them is the human-assisting robot . These robots can be controlled by a human in different ways. An Electromygraphy (EMG) is a signal which is produced due to the electrical activity when muscle contracts. These signals can be used as control signals for serving the robot. In this paper, a pick and place robotic arm is controlled using the EMG signals acquired from the arm of the user in real time. EMG signals are acquired from the forearm of the user with the help of surface electrodes attached to the user’s skin. It is found to be more robust when compared to other ideas.
Keywords: Electromyographic (EMG) Signals, Labview, Robotic Arm, Root Mean Square (RMS) Value.
Scope of the Article: Robotics and Control