Study of acceleration plethysmogram based biometric identification incorporating different time instances
This study investigates the effectiveness of acceleration plethysmogram (APG) to be applied as a biometric identification system in different time instances. Currently, most of the study actively discusses on the ability of photoplethysmogram (PPG) for person identification. To the best of our knowl...
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| Format: | Article |
| Language: | English English |
| Published: |
American Scientific Publishers
2017
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| Online Access: | http://irep.iium.edu.my/63135/ http://irep.iium.edu.my/63135/1/63135_Study%20of%20acceleration%20plethysmogram%20based%20biometric_article.pdf http://irep.iium.edu.my/63135/2/63135_Study%20of%20acceleration%20plethysmogram%20based%20biometric_scopus.pdf |
| _version_ | 1848785985089830912 |
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| author | Mohd Azam, Siti Nurfarah Ain Sidek, Khairul Azami |
| author_facet | Mohd Azam, Siti Nurfarah Ain Sidek, Khairul Azami |
| author_sort | Mohd Azam, Siti Nurfarah Ain |
| building | IIUM Repository |
| collection | Online Access |
| description | This study investigates the effectiveness of acceleration plethysmogram (APG) to be applied as a biometric identification system in different time instances. Currently, most of the study actively discusses on the ability of photoplethysmogram (PPG) for person identification. To the best of our knowledge, little has been said on related studies on APG signals. A total of 5 PPG signals were collected from a publicly available online repository, which is MIMIC II Waveform Database, version 3, part 3 for two different periods and then undergoes preprocessing using a low pass filter. After that, the signals were segmented and later differentiated to produce APG signals. Lastly, the APG signals were classified using four different types of classifiers, namely, Naïve Bayes, Bayes Network, Multilayer Perceptron (MLP) and Radial Basis Function (RBF). Based on the experimentation results, the accuracy for all classifiers increase when applying APG as a biometric modality of up to 11.72% as compared to PPG signals. |
| first_indexed | 2025-11-14T17:01:50Z |
| format | Article |
| id | iium-63135 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T17:01:50Z |
| publishDate | 2017 |
| publisher | American Scientific Publishers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-631352018-05-07T00:42:34Z http://irep.iium.edu.my/63135/ Study of acceleration plethysmogram based biometric identification incorporating different time instances Mohd Azam, Siti Nurfarah Ain Sidek, Khairul Azami TK1001 Production of electric energy. Powerplants This study investigates the effectiveness of acceleration plethysmogram (APG) to be applied as a biometric identification system in different time instances. Currently, most of the study actively discusses on the ability of photoplethysmogram (PPG) for person identification. To the best of our knowledge, little has been said on related studies on APG signals. A total of 5 PPG signals were collected from a publicly available online repository, which is MIMIC II Waveform Database, version 3, part 3 for two different periods and then undergoes preprocessing using a low pass filter. After that, the signals were segmented and later differentiated to produce APG signals. Lastly, the APG signals were classified using four different types of classifiers, namely, Naïve Bayes, Bayes Network, Multilayer Perceptron (MLP) and Radial Basis Function (RBF). Based on the experimentation results, the accuracy for all classifiers increase when applying APG as a biometric modality of up to 11.72% as compared to PPG signals. American Scientific Publishers 2017-11 Article PeerReviewed application/pdf en http://irep.iium.edu.my/63135/1/63135_Study%20of%20acceleration%20plethysmogram%20based%20biometric_article.pdf application/pdf en http://irep.iium.edu.my/63135/2/63135_Study%20of%20acceleration%20plethysmogram%20based%20biometric_scopus.pdf Mohd Azam, Siti Nurfarah Ain and Sidek, Khairul Azami (2017) Study of acceleration plethysmogram based biometric identification incorporating different time instances. Advanced Science Letters, 23 (11). pp. 11335-11339. ISSN 1936-6612 E-ISSN 1936-7317 http://www.ingentaconnect.com/content/asp/asl/2017/00000023/00000011/art00195 10.1166/asl.2017.10278 |
| spellingShingle | TK1001 Production of electric energy. Powerplants Mohd Azam, Siti Nurfarah Ain Sidek, Khairul Azami Study of acceleration plethysmogram based biometric identification incorporating different time instances |
| title | Study of acceleration plethysmogram based biometric identification incorporating different time instances |
| title_full | Study of acceleration plethysmogram based biometric identification incorporating different time instances |
| title_fullStr | Study of acceleration plethysmogram based biometric identification incorporating different time instances |
| title_full_unstemmed | Study of acceleration plethysmogram based biometric identification incorporating different time instances |
| title_short | Study of acceleration plethysmogram based biometric identification incorporating different time instances |
| title_sort | study of acceleration plethysmogram based biometric identification incorporating different time instances |
| topic | TK1001 Production of electric energy. Powerplants |
| url | http://irep.iium.edu.my/63135/ http://irep.iium.edu.my/63135/ http://irep.iium.edu.my/63135/ http://irep.iium.edu.my/63135/1/63135_Study%20of%20acceleration%20plethysmogram%20based%20biometric_article.pdf http://irep.iium.edu.my/63135/2/63135_Study%20of%20acceleration%20plethysmogram%20based%20biometric_scopus.pdf |