Acceleration plethysmogram based biometric identification

Jaafar, Nur Azua Liyana and Sidek, Khairul Azami and Mohd Azam, Siti Nurfarah Ain (2015) Acceleration plethysmogram based biometric identification. In: 2015 International Conference on BioSignal Analysis, Processing and Systems (ICBAPS 2015), 26-28 May 2015, Kuala Lumpur.

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Abstract

This paper presents the feasibility study of Acceleration Plethysmogram (APG) based biometric identification system. APG signals are obtained from the second derivative of the Photoplethysmogram (PPG) signal. It has been reported from previous literature that APG signals contain more information as compared to the PPG signal. Thus, in this paper, the robustness and reliability of APG signal as a biometric recognition mechanism will be proven. APG signals of 10 subjects were acquired from the Multiparameter Intelligent Monitoring in Intensive Care II Waveform Database (MIMIC2WDB) which contains PPG signals with a sampling frequency of 125 Hz. The signals were later converted into an APG waveform. Then, discriminating 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 Bayes Network gives an identification rate of 97.5 percentage as compared to PPG signal of 55 percentage for the same waveform. This outcome suggests the feasibility and robustness of APG signals as a biometric modality as compared to PPG signals.

Item Type:	Conference or Workshop Item (Invited Papers)
Additional Information:	4698/46346
Uncontrolled Keywords:	APG signal; Biometric; Bayes Network; MIMIC2WDB; PPG signal.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Assoc Prof Dr Khairul Azami Sidek
Date Deposited:	05 Jan 2016 15:50
Last Modified:	23 Sep 2017 14:43
URI:	http://irep.iium.edu.my/id/eprint/46346

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