Group: 2013-FYP-29

EMG CONTROLLED ROBOTIC ARM

Advisor:

Dr. Ubaid Ullah Fiaz

Abstract:

Many amputees and paralyzed are among us who are not able to compete with others only because they are held back by the fact that some part of their body is not fully functional. WHO estimates that there are 40 million amputees throughout the world, 30 percent of which are upper limb amputees. While there is no commercially available solution for the paralyzed, the prosthetic limbs available for the amputees in the market are too expensive and only available in developed countries. The success of this project lies in providing robust gesture classification using myoelectric signals acquired using surface electrodes which will then be used to drive a complete low cost human arm having 4 DOF. The gesture classification will also be used for other applications such as driving a wheel chair for amputees and using a mounted robotic arm on the wheel chair for performing basic tasks. This project also aims to explore the control of the limb for paralyzed using externally applied myoelectric signals by TENS Pads. Cost is one of the most important aspects of this project, and the target is to create a product that is affordable for most amputees and paralyzed.

First Presentation:

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Thesis Report:

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Video:

Team Members:

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Objectives

Our Vision

To ensure understanding and application of engineering fundamentals to address social needs.

Our Mission

To become a center of excellence in knowledge creation and dissemination by inculcating analysis and design skills in electrical engineering students.

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