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dc.contributor.author | Abdul Subhan Zahid, 01-133112-146 | |
dc.contributor.author | Ahmed Arsalan Malik, 01-133112-147 | |
dc.contributor.author | Muhammad Ali Asif, 01-133112-162 | |
dc.date.accessioned | 2017-07-13T05:49:33Z | |
dc.date.available | 2017-07-13T05:49:33Z | |
dc.date.issued | 2015 | |
dc.identifier.uri | http://hdl.handle.net/123456789/2471 | |
dc.description | Supervised by Mr. Waleed Manzoor | en_US |
dc.description.abstract | EMG based robotic arm is an artificial robotic arm that’s can work exactly the same as the human arm movement with the help of Electromyography signals. Electromyography signal are usually measured in micro volts. People who lost their arm in any accident or due to any diseases the prosthetic arm will used to replace as the function of prosthetic arm will same as the other human arm perform normally. Using muscle sensor v3 kit placed 3 electrodes on the human muscle. Extract the analog signal, amplify and convert to digital and send signals to Arduino. Further the servo motors are connecting with the Arduino. After setting the position of each motor, these motors are able to move in different angle. Two parts of project communicate wireless. Transmitter is placed on one phase and receiver at the other phase end. So that signal send from one phase to other. The transmitter and receiver communicate in binary data in form of 0 and 1. 0 = move upward 1 = move downward In order to make project simpler, and easily understandable, we collect simple raw data (voltage) and work on that. And the main objective is to make project simple and light-weighted arm. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Computer Engineering, Bahria University Engineering School Islamabad | en_US |
dc.relation.ispartofseries | BCE;P-0089 | |
dc.subject | Computer Engineering | en_US |
dc.title | Electromyography Based Robotic ARM (P-0089) (MFN 4662) | en_US |
dc.type | Project Report | en_US |