Development of facial muscles controlled robotic system /

The work in this dissertation focuses on the development of the facial muscles controlled robotic system. The main idea of the work is to control the movement of the small mobile robot by the recorded facial muscle signals. The characteristic of the recorded facial muscles is discussed thoroughly in...

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Bibliographic Details
Main Author: Ahmad Joraimee bin Mohamad
Format: Thesis
Language:English
Published: Kuala Lumpur : Kulliyyah of Engineering ,International Islamic University Malaysia, 2013
Subjects:
Online Access:http://studentrepo.iium.edu.my/handle/123456789/4627
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040 |a UIAM  |b eng 
041 |a eng 
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050 |a TJ211.35 
100 0 |a Ahmad Joraimee bin Mohamad 
245 1 |a Development of facial muscles controlled robotic system /  |c by Ahmad Joraimee bin Mohamad 
260 |a Kuala Lumpur :  |b Kulliyyah of Engineering ,International Islamic University Malaysia,  |c 2013 
300 |a xv, 73 leaves :  |b ill. ;  |c 30cm. 
502 |a Thesis (MSMCT)--International Islamic University Malaysia, 2013. 
504 |a Includes bibliographical references (leave 67-68). 
520 |a The work in this dissertation focuses on the development of the facial muscles controlled robotic system. The main idea of the work is to control the movement of the small mobile robot by the recorded facial muscle signals. The characteristic of the recorded facial muscles is discussed thoroughly in the dissertation. The facial muscle signals used, which are known as Electromyography (EMG) are obtained after passing the raw signals through EMG system that consist of stage-by-stage amplification and filtering circuits. A set of three channels of EMG circuit consists of a set of instrumentation amplifier INA128P and four precision amplifiers OP177 are used to build the circuit. The raw captured signal is amplified by the gain of 8,415 and band pass filtered from 50Hz to 500Hz. A microcontroller PIC16F877A starter kit is used to convert the analogue signal from the circuit into digital form before the signal is transferred to the receiver on the small mobile robot wirelessly by using XBee module which can work within 100m radius. The alternative features of the system can be used to create more interesting facial muscle rehabilitation therapy for the patients who suffer from strokes. 
596 |a 1 
655 7 |a Theses, IIUM local 
690 |a Dissertations, Academic  |x Department of Advanced Engineering and Innovation Centre  |z IIUM 
710 2 |a International Islamic University Malaysia.  |b Department of Advanced Engineering and Innovation Centre 
856 4 |u http://studentrepo.iium.edu.my/handle/123456789/4627 
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