Study of acceleration plethysmogram based biometric identification incorporating different time instances

Mohd Azam, Siti Nurfarah Ain and Sidek, Khairul Azami (2017) Study of acceleration plethysmogram based biometric identification incorporating different time instances. Advanced Science Letters, 23 (11). pp. 11335-11339. ISSN 1936-6612 E-ISSN 1936-7317

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Abstract

This study investigates the effectiveness of acceleration plethysmogram (APG) to be applied as a biometric identification system in different time instances. Currently, most of the study actively discusses on the ability of photoplethysmogram (PPG) for person identification. To the best of our knowledge, little has been said on related studies on APG signals. A total of 5 PPG signals were collected from a publicly available online repository, which is MIMIC II Waveform Database, version 3, part 3 for two different periods and then undergoes preprocessing using a low pass filter. After that, the signals were segmented and later differentiated to produce APG signals. Lastly, the APG signals were classified using four different types of classifiers, namely, Naïve Bayes, Bayes Network, Multilayer Perceptron (MLP) and Radial Basis Function (RBF). Based on the experimentation results, the accuracy for all classifiers increase when applying APG as a biometric modality of up to 11.72% as compared to PPG signals.

Item Type:	Article (Journal)
Additional Information:	4698/63135
Uncontrolled Keywords:	Acceleration Plethysmogram; Biometric; Person Identification; Signal Processing
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001 Production of electric energy. Powerplants
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Mohd Ariff Hazami Elliazir
Date Deposited:	07 May 2018 08:42
Last Modified:	07 May 2018 08:42
URI:	http://irep.iium.edu.my/id/eprint/63135

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