Lie detection using photoplethysmogram (PPG) signal incorporating age and gender variability /
This study proposed a photoplethysmogram (PPG) based lie detection technique for different group of age and gender. PPG device has been used widely in biomedical field due to its advantages such as low cost and small in size. However, lie detection using biomedical signals such as PPG is not well re...
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Language: | English |
Published: |
Kuala Lumpur :
Kulliyyah of Engineering, International Islamic University Malaysia,
2018
|
Subjects: | |
Online Access: | http://studentrepo.iium.edu.my/handle/123456789/4955 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
LEADER | 035170000a22003010004500 | ||
---|---|---|---|
008 | 180604s2018 my a f m 000 0 eng d | ||
040 | |a UIAM |b eng |e rda | ||
041 | |a eng | ||
043 | |a a-my--- | ||
050 | 0 | 0 | |a HV8078 |
100 | 0 | |a Nur Amirah binti Shariff, |e author | |
245 | 1 | 0 | |a Lie detection using photoplethysmogram (PPG) signal incorporating age and gender variability / |c by Nur Amirah binti Shariff |
264 | 1 | |a Kuala Lumpur : |b Kulliyyah of Engineering, International Islamic University Malaysia, |c 2018 | |
300 | |a xiv, 67 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, 2018. | ||
504 | |a Includes bibliographical references (leaves 59-60). | ||
520 | |a This study proposed a photoplethysmogram (PPG) based lie detection technique for different group of age and gender. PPG device has been used widely in biomedical field due to its advantages such as low cost and small in size. However, lie detection using biomedical signals such as PPG is not well researched. In addition, signal obtained from different gender might vary and there is still less research done about polygraph with different age and gender. Hence, this study will propose a lie detection mechanism using PPG signal incorporating age and gender to overcome the limitations of current techniques. This study includes 20 subjects from various age category and gender group. PPG data was collected using Easy Pulse hardware after subjects undergoes a mock crime scenario in two conditions which are normal and lie conditions. Normal PPG signal was collected when the subjects were in a relaxing state where lie PPG signal was acquired when the subjects were participating in the Guilty Knowledge Test (GKT). After that, these PPG waveforms were filtered to minimize the noise in the signal. The filtered PPG data was extracted using two classification techniques in order to distinguish between normal and lie PPG signal incorporating age and gender group which are peak differences and Cardiod area differences. The result for age groups show that Group A (10-19 years old) obtained the highest average values of peak differences and Cardiod area differences as high as 156mV and 44884.25 unit2 respectively which indicates that they tend to lie more than other age groups. On the other hand, for gender factors, the results show that female obtained higher average values than male which are up to 126.4 mV for average peak difference and 40887.2 unit2 for average Cardiod area differences. This indicates that female tend to use deceptive behaviour more than male. The overall results obtained shows that PPG signal is a credible and reliable technique to be used in detecting lie incorporating age and gender variability. | ||
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/123456789/4955 | |
900 | |a sbh-aaz | ||
999 | |c 440154 |d 471880 | ||
952 | |0 0 |6 T HV 008078 N974L 2018 |7 0 |8 THESES |9 761863 |a IIUM |b IIUM |c MULTIMEDIA |g 0.00 |o t HV 8078 N974L 2018 |p 11100396811 |r 2020-02-04 |t 1 |v 0.00 |y THESIS | ||
952 | |0 0 |6 TS CDF HV 8078 N974L 2018 |7 0 |8 THESES |9 857259 |a IIUM |b IIUM |c MULTIMEDIA |g 0.00 |o ts cdf HV 8078 N974L 2018 |p 11100396812 |r 2020-02-04 |t 1 |v 0.00 |y THESISDIG |