The development of human biometric identification using acceleration plethysmogram

This study explicates the practicability of using acceleration plethysmogram (APG) signal in biometric identification. The introduction of APG signal is initiated from the congenital of photoplethysmogram (PPG) signal since APG signal has been widely known as the second derivative of PPG signal. Pre...

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Main Authors:	Sidek, Khairul Azami, Zainal, Nur Izzati, Mohd Azam, Siti Nurfarah Ain, Jaafar, Nur Azua Liyana
Format:	Article
Language:	English
Published:	Asian Research Publishing Network (ARPN) 2015
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/47039/ http://irep.iium.edu.my/47039/ http://irep.iium.edu.my/47039/1/jeas_1215_3190.pdf

id	iium-47039
recordtype	eprints
spelling	iium-470392017-06-20T02:39:55Z http://irep.iium.edu.my/47039/ The development of human biometric identification using acceleration plethysmogram Sidek, Khairul Azami Zainal, Nur Izzati Mohd Azam, Siti Nurfarah Ain Jaafar, Nur Azua Liyana TK7885 Computer engineering This study explicates the practicability of using acceleration plethysmogram (APG) signal in biometric identification. The introduction of APG signal is initiated from the congenital of photoplethysmogram (PPG) signal since APG signal has been widely known as the second derivative of PPG signal. Previous researchers claimed that APG signal elucidates more information as compared to PPG signal. For this reason, the robustness and reliability of APG signal as biometric recognition is demonstrated. A total of 10 subjects obtained from MIMIC II WAFEFORM Database (MIMIC2WDB) which provides PPG signals with a 125 Hz sampling frequency are used as test samples. The signals are then differentiated twice to obtain the APG signals. Then, discriminative features are extracted from the APG morphology. Finally, these APG samples were classified using commonly known classification techniques to identify individuals. Based on the experimentation results, APG signal when using Multilayer Perceptron gives an identification rate of 98% as compared to PPG signal of 76% for the same waveform. This outcome suggests the feasibility and robustness of APG signals as a biometric modality as an alternative to current techniques. Asian Research Publishing Network (ARPN) 2015-12 Article PeerReviewed application/pdf en http://irep.iium.edu.my/47039/1/jeas_1215_3190.pdf Sidek, Khairul Azami and Zainal, Nur Izzati and Mohd Azam, Siti Nurfarah Ain and Jaafar, Nur Azua Liyana (2015) The development of human biometric identification using acceleration plethysmogram. ARPN Journal of Engineering and Applied Sciences, 10 (23). pp. 17438-17443. ISSN 1819-6608 http://www.arpnjournals.org/jeas/research_papers/rp_2015/jeas_1215_3190.pdf
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK7885 Computer engineering
spellingShingle	TK7885 Computer engineering Sidek, Khairul Azami Zainal, Nur Izzati Mohd Azam, Siti Nurfarah Ain Jaafar, Nur Azua Liyana The development of human biometric identification using acceleration plethysmogram
description	This study explicates the practicability of using acceleration plethysmogram (APG) signal in biometric identification. The introduction of APG signal is initiated from the congenital of photoplethysmogram (PPG) signal since APG signal has been widely known as the second derivative of PPG signal. Previous researchers claimed that APG signal elucidates more information as compared to PPG signal. For this reason, the robustness and reliability of APG signal as biometric recognition is demonstrated. A total of 10 subjects obtained from MIMIC II WAFEFORM Database (MIMIC2WDB) which provides PPG signals with a 125 Hz sampling frequency are used as test samples. The signals are then differentiated twice to obtain the APG signals. Then, discriminative features are extracted from the APG morphology. Finally, these APG samples were classified using commonly known classification techniques to identify individuals. Based on the experimentation results, APG signal when using Multilayer Perceptron gives an identification rate of 98% as compared to PPG signal of 76% for the same waveform. This outcome suggests the feasibility and robustness of APG signals as a biometric modality as an alternative to current techniques.
format	Article
author	Sidek, Khairul Azami Zainal, Nur Izzati Mohd Azam, Siti Nurfarah Ain Jaafar, Nur Azua Liyana
author_facet	Sidek, Khairul Azami Zainal, Nur Izzati Mohd Azam, Siti Nurfarah Ain Jaafar, Nur Azua Liyana
author_sort	Sidek, Khairul Azami
title	The development of human biometric identification using acceleration plethysmogram
title_short	The development of human biometric identification using acceleration plethysmogram
title_full	The development of human biometric identification using acceleration plethysmogram
title_fullStr	The development of human biometric identification using acceleration plethysmogram
title_full_unstemmed	The development of human biometric identification using acceleration plethysmogram
title_sort	development of human biometric identification using acceleration plethysmogram
publisher	Asian Research Publishing Network (ARPN)
publishDate	2015
url	http://irep.iium.edu.my/47039/ http://irep.iium.edu.my/47039/ http://irep.iium.edu.my/47039/1/jeas_1215_3190.pdf
first_indexed	2023-09-18T21:06:56Z
last_indexed	2023-09-18T21:06:56Z
_version_	1777410996074184704

The development of human biometric identification using acceleration plethysmogram

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