Automobile driver recognition under different physiological conditions using the electrocardiogram

Sidek, Khairul Azami and Ibrahim, Khalil (2011) Automobile driver recognition under different physiological conditions using the electrocardiogram. Computing in Cardiology, 38. pp. 753-756. ISSN 0276-6574

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Abstract

This paper presents a person identification mechanism of automobile drivers under different physiological conditions. A total of 16 subjects were used in this study from the Stress Recognition in Automobile Driver database (DRIVEDB). Discrete Wavelet Transform was applied to reveal useful hidden information in the ECG signal which is not readily available in a time domain representation. Features are extracted based on coefficients produced due to the wavelet decomposition process. These features sets were then used in Radial Basis Function (RBF) for classification purposes. Our experimentation suggests that person identification is possible by obtaining identification accuracy of 95% as compared to 91% without wavelet analysis. This also indicates the robustness of ECG biometric implemented under different physiological conditions.

Item Type:	Article (Journal)
Additional Information:	4698/31993
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:	17 Sep 2013 10:49
Last Modified:	17 Sep 2013 10:49
URI:	http://irep.iium.edu.my/id/eprint/31993

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