Photoplethysmogram based lie detection incorporating race differences /

This research investigates the feasibility of a lie detector system based on photoplethysmogram (PPG) signal. Lie detector notes physiological changes of a subject commonly under Guilty Knowledge Test (GKT). The proposed research methodology consists of Easy Pulse sensor that captures PPG signal whe...

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Bibliographic Details
Main Author: Alam, Md Nasibul (Author)
Format: Thesis
Language:English
Published: Kuala Lumpur : Kulliyyah of Engineering, International Islamic University Malaysia, 2017
Subjects:
Online Access:Click here to view 1st 24 pages of the thesis. Members can view fulltext at the specified PCs in the library.
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040 |a UIAM  |b eng  |e rda 
041 |a eng 
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050 0 0 |a HV8078 
100 1 |a Alam, Md Nasibul,  |e author 
245 1 0 |a Photoplethysmogram based lie detection incorporating race differences /  |c by Md Nasibul Alam 
264 1 |a Kuala Lumpur :  |b Kulliyyah of Engineering, International Islamic University Malaysia,  |c 2017 
300 |a xiv, 60 leaves :  |b colour illustrations ;  |c 30cm. 
336 |2 rdacontent  |a text 
347 |2 rdaft  |a text file  |b PDF 
502 |a Thesis (MSCE)--International Islamic University Malaysia, 2017. 
504 |a Includes bibliographical references (leaves 54-58). 
520 |a This research investigates the feasibility of a lie detector system based on photoplethysmogram (PPG) signal. Lie detector notes physiological changes of a subject commonly under Guilty Knowledge Test (GKT). The proposed research methodology consists of Easy Pulse sensor that captures PPG signal where oxygen saturation is measured with the help of Arduino microcontroller and a software named CoolTerm which converts the captured data in a text data. Under GKT, the subject has to answer with a YES or NO. Analyzing the data with the help of MATLAB software shows that, the PPG data decision making techniques show lower results of standard deviation, systolic peak differences and Cardiod area calculations corresponding to lie condition where normal conditions for these three parameters are higher. In the first part of the research, PPG data were collected from 6 subjects and classification performances show lower results of the 3 parameter calculations corresponding to lie condition. Whereas, the second part of the research was performed to investigate the robustness of the system where 15 subjects were taken from people of different races. Completing analysis of the PPG data, results of standard deviation, systolic peaks differences and Cardiod area calculations were lower for lie condition. The proposed system can detect lie in different subject's physical condition such as subject is sweating, different body temperature, skin problem where most of the current system is unable to detect lie. The implementation of the proposed method system is very cheap and very easy to apply as compared to other current systems. Therefore, based on the experimentation results, PPG signals have great potential for lie detection, and the capability to detect lie regardless of race opens up to new research areas in the future. 
596 |a 1 
655 7 |a Theses, IIUM local 
690 |a Dissertations, Academic  |x Department of Electrical and Computer Engineering  |z IIUM 
710 2 |a International Islamic University Malaysia.  |b Department of Electrical and Computer Engineering 
856 4 |u http://studentrepo.iium.edu.my/handle/123456789/5090  |z Click here to view 1st 24 pages of the thesis. Members can view fulltext at the specified PCs in the library. 
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