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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Computing in Cardiology
2011
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| Online Access: | http://irep.iium.edu.my/31993/ http://irep.iium.edu.my/31993/1/cinc2011a.pdf |
| _version_ | 1848780479579291648 |
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| author | Sidek, Khairul Azami Ibrahim, Khalil |
| author_facet | Sidek, Khairul Azami Ibrahim, Khalil |
| author_sort | Sidek, Khairul Azami |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T15:34:20Z |
| format | Article |
| id | iium-31993 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:34:20Z |
| publishDate | 2011 |
| publisher | Computing in Cardiology |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 |
| spellingShingle | TK7885 Computer engineering Sidek, Khairul Azami Ibrahim, Khalil Automobile driver recognition under different physiological conditions using the electrocardiogram |
| title | 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_short | Automobile driver recognition under different physiological conditions using the electrocardiogram |
| title_sort | automobile driver recognition under different physiological conditions using the electrocardiogram |
| topic | TK7885 Computer engineering |
| url | http://irep.iium.edu.my/31993/ http://irep.iium.edu.my/31993/ http://irep.iium.edu.my/31993/1/cinc2011a.pdf |