Identical and fraternal twin recognition using photoplethysmogram signals

This paper elaborates on the recognition of identical and fraternal twins by using photo plethysmogram (PPG) signals as an alternative to current techniques of identifying twins for biometric purposes. Based on our knowledge, the study on PPG based biometric for identical and fraternal twins is und...

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Main Authors:	Mohammed Nadzri, NurIzzati, Sidek, Khairul Azami
Format:	Article
Language:	English English
Published:	Asian Research Publishing Network (ARPN) 2017
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/56738/ http://irep.iium.edu.my/56738/ http://irep.iium.edu.my/56738/1/jeas_0417_5942.pdf http://irep.iium.edu.my/56738/7/56738-Identical%20and%20fraternal%20twin%20recognition%20using%20photoplethysmogram%20signals_SCOPUS.pdf

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recordtype	eprints
spelling	iium-567382017-06-06T00:22:14Z http://irep.iium.edu.my/56738/ Identical and fraternal twin recognition using photoplethysmogram signals Mohammed Nadzri, NurIzzati Sidek, Khairul Azami TK7885 Computer engineering This paper elaborates on the recognition of identical and fraternal twins by using photo plethysmogram (PPG) signals as an alternative to current techniques of identifying twins for biometric purposes. Based on our knowledge, the study on PPG based biometric for identical and fraternal twins is under-researched. Thus, this issue will be the main focus of our study. PPG samples of nine subjects consisting of two identical twins and another two fraternal twins were collected for experimentation procedures. Next, a low pass filter was used to remove the noise in the signal. Then, the feature extraction process is performed by selecting unique features of PPG signals from an individuals and later classifying the datasets using Naïve Bayes (NB) and Multilayer Perceptron (MLP). Based on the experimentation results, classification accuracies of 97.2% and 93.5% were achieved from the overall dataset and 97.9% of accuracies were achieved from identical twin while 96.7% and 98.3% were achieved from fraternal twins when using NB and MLP respectively. The output of the study suggests the capability of the proposed system to identify the identical and fraternal twins which can act as a compliment to existing recognition approaches. Asian Research Publishing Network (ARPN) 2017-04 Article PeerReviewed application/pdf en http://irep.iium.edu.my/56738/1/jeas_0417_5942.pdf application/pdf en http://irep.iium.edu.my/56738/7/56738-Identical%20and%20fraternal%20twin%20recognition%20using%20photoplethysmogram%20signals_SCOPUS.pdf Mohammed Nadzri, NurIzzati and Sidek, Khairul Azami (2017) Identical and fraternal twin recognition using photoplethysmogram signals. ARPN Journal of Engineering and Applied Sciences, 12 (8). pp. 2576-2580. ISSN 1819-6608 http://www.arpnjournals.com/jeas/volume_08_2017.htm
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK7885 Computer engineering
spellingShingle	TK7885 Computer engineering Mohammed Nadzri, NurIzzati Sidek, Khairul Azami Identical and fraternal twin recognition using photoplethysmogram signals
description	This paper elaborates on the recognition of identical and fraternal twins by using photo plethysmogram (PPG) signals as an alternative to current techniques of identifying twins for biometric purposes. Based on our knowledge, the study on PPG based biometric for identical and fraternal twins is under-researched. Thus, this issue will be the main focus of our study. PPG samples of nine subjects consisting of two identical twins and another two fraternal twins were collected for experimentation procedures. Next, a low pass filter was used to remove the noise in the signal. Then, the feature extraction process is performed by selecting unique features of PPG signals from an individuals and later classifying the datasets using Naïve Bayes (NB) and Multilayer Perceptron (MLP). Based on the experimentation results, classification accuracies of 97.2% and 93.5% were achieved from the overall dataset and 97.9% of accuracies were achieved from identical twin while 96.7% and 98.3% were achieved from fraternal twins when using NB and MLP respectively. The output of the study suggests the capability of the proposed system to identify the identical and fraternal twins which can act as a compliment to existing recognition approaches.
format	Article
author	Mohammed Nadzri, NurIzzati Sidek, Khairul Azami
author_facet	Mohammed Nadzri, NurIzzati Sidek, Khairul Azami
author_sort	Mohammed Nadzri, NurIzzati
title	Identical and fraternal twin recognition using photoplethysmogram signals
title_short	Identical and fraternal twin recognition using photoplethysmogram signals
title_full	Identical and fraternal twin recognition using photoplethysmogram signals
title_fullStr	Identical and fraternal twin recognition using photoplethysmogram signals
title_full_unstemmed	Identical and fraternal twin recognition using photoplethysmogram signals
title_sort	identical and fraternal twin recognition using photoplethysmogram signals
publisher	Asian Research Publishing Network (ARPN)
publishDate	2017
url	http://irep.iium.edu.my/56738/ http://irep.iium.edu.my/56738/ http://irep.iium.edu.my/56738/1/jeas_0417_5942.pdf http://irep.iium.edu.my/56738/7/56738-Identical%20and%20fraternal%20twin%20recognition%20using%20photoplethysmogram%20signals_SCOPUS.pdf
first_indexed	2023-09-18T21:20:07Z
last_indexed	2023-09-18T21:20:07Z
_version_	1777411825388748800

Identical and fraternal twin recognition using photoplethysmogram signals

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