Automobile driver recognition under different physiological conditions using the electrocardiogram

Automobile driver recognition under different physiological conditions using the electrocardiogram

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 u...

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Main Authors: Sidek, Khairul Azami, Ibrahim, Khalil
Format: Article
Language:English
Published: Computing in Cardiology 2011
Subjects:
TK7885 Computer engineering
Online Access:http://irep.iium.edu.my/31993/
http://irep.iium.edu.my/31993/
http://irep.iium.edu.my/31993/1/cinc2011a.pdf
id iium-31993
recordtype eprints
spelling iium-319932013-09-17T02:49:15Z http://irep.iium.edu.my/31993/ Automobile driver recognition under different physiological conditions using the electrocardiogram Sidek, Khairul Azami Ibrahim, Khalil TK7885 Computer engineering 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. Computing in Cardiology 2011-09-18 Article PeerReviewed application/pdf en http://irep.iium.edu.my/31993/1/cinc2011a.pdf 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 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6164675
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
Ibrahim, Khalil
Automobile driver recognition under different physiological conditions using the electrocardiogram
description 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.
format Article
author Sidek, Khairul Azami
Ibrahim, Khalil
author_facet Sidek, Khairul Azami
Ibrahim, Khalil
author_sort Sidek, Khairul Azami
title Automobile driver recognition under different physiological conditions using the electrocardiogram
title_short Automobile driver recognition under different physiological conditions using the electrocardiogram
title_full Automobile driver recognition under different physiological conditions using the electrocardiogram
title_fullStr Automobile driver recognition under different physiological conditions using the electrocardiogram
title_full_unstemmed Automobile driver recognition under different physiological conditions using the electrocardiogram
title_sort automobile driver recognition under different physiological conditions using the electrocardiogram
publisher Computing in Cardiology
publishDate 2011
url http://irep.iium.edu.my/31993/
http://irep.iium.edu.my/31993/
http://irep.iium.edu.my/31993/1/cinc2011a.pdf
first_indexed 2023-09-18T20:46:09Z
last_indexed 2023-09-18T20:46:09Z
_version_ 1777409688737939456

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