Acceleration plethysmogram based biometric identification
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...
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| Format: | Proceeding Paper |
| Language: | English English |
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IEEE
2015
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| Online Access: | http://irep.iium.edu.my/46346/ http://irep.iium.edu.my/46346/4/46346_Acceleration_plethysmogram_based_biometric_identification_Fullpaper.pdf http://irep.iium.edu.my/46346/7/46346_Acceleration%20plethysmogram%20based_Scopus.pdf |
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| author | Jaafar, Nur Azua Liyana Sidek, Khairul Azami Mohd Azam, Siti Nurfarah Ain |
| author_facet | Jaafar, Nur Azua Liyana Sidek, Khairul Azami Mohd Azam, Siti Nurfarah Ain |
| author_sort | Jaafar, Nur Azua Liyana |
| building | IIUM Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T16:13:38Z |
| format | Proceeding Paper |
| id | iium-46346 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:13:38Z |
| publishDate | 2015 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-463462017-09-23T06:43:42Z http://irep.iium.edu.my/46346/ Acceleration plethysmogram based biometric identification Jaafar, Nur Azua Liyana Sidek, Khairul Azami Mohd Azam, Siti Nurfarah Ain TK7885 Computer engineering 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. IEEE 2015 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/46346/4/46346_Acceleration_plethysmogram_based_biometric_identification_Fullpaper.pdf application/pdf en http://irep.iium.edu.my/46346/7/46346_Acceleration%20plethysmogram%20based_Scopus.pdf 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. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7292210 10.1109/ICBAPS.2015.7292210 |
| spellingShingle | TK7885 Computer engineering Jaafar, Nur Azua Liyana Sidek, Khairul Azami Mohd Azam, Siti Nurfarah Ain Acceleration plethysmogram based biometric identification |
| title | Acceleration plethysmogram based biometric identification |
| title_full | Acceleration plethysmogram based biometric identification |
| title_fullStr | Acceleration plethysmogram based biometric identification |
| title_full_unstemmed | Acceleration plethysmogram based biometric identification |
| title_short | Acceleration plethysmogram based biometric identification |
| title_sort | acceleration plethysmogram based biometric identification |
| topic | TK7885 Computer engineering |
| url | http://irep.iium.edu.my/46346/ http://irep.iium.edu.my/46346/ http://irep.iium.edu.my/46346/ http://irep.iium.edu.my/46346/4/46346_Acceleration_plethysmogram_based_biometric_identification_Fullpaper.pdf http://irep.iium.edu.my/46346/7/46346_Acceleration%20plethysmogram%20based_Scopus.pdf |