Refine your search
Collections
Co-Authors
Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Azami Sidek, Khairul
- Photoplethysmogram Based Biometric Recognition for Twins
Abstract Views :216 |
PDF Views:0
Authors
Affiliations
1 Department of Electrical and Computer Engineering, Faculty of Engineering, International Islamic University Malaysia, 53100 Kuala Lumpur, MY
1 Department of Electrical and Computer Engineering, Faculty of Engineering, International Islamic University Malaysia, 53100 Kuala Lumpur, MY
Source
Indian Journal of Science and Technology, Vol 9, No 36 (2016), Pagination:Abstract
This paper presents a photoplethysmogram (PPG) based biometric recognition technique for twins. PPG devices have been widely used due to its advantages such as non-invasive, low cost and small in size which makes it a convenient analytical tool. To the best of our knowledge, little has been set pertaining to biometric recognition for twins using PPG signal. A total of six subjects from three couple of twins were used for experimentation purposes. The signals were processed using a low pass filter to remove unwanted noise. Then, multiple cycle of PPG waveforms were extracted and later, Naive Bayes (NB) and Radial Basis Function (RBF) network classifiers are used to categorize the subjects using the discriminant features. Based on the experimentation results, classification accuracies of 97% and 94% were achieved when using Naive Bayes and RBF network respectively which suggests the capability of our proposed system to identify individuals regardless whether the persons is a twin or not. The outcome also provides complimentary mechanism to detect a person besides using the current existing methods.Keywords
Naive Bayes, Photoplethysmogram (PPG), Radial Basis Function (RBF) Network, Systolic and Diastolic.- Time Variability Analysis of Photoplethysmogram Biometric Identification System
Abstract Views :240 |
PDF Views:0
Authors
Affiliations
1 International Islamic University of Malaysia, Department of Electrical and Computer Engineering, Faculty of Engineering, International Islamic University of Malaysia, 53100 Jalan Gombak, Kuala Lumpur, MY
1 International Islamic University of Malaysia, Department of Electrical and Computer Engineering, Faculty of Engineering, International Islamic University of Malaysia, 53100 Jalan Gombak, Kuala Lumpur, MY
Source
Indian Journal of Science and Technology, Vol 9, No 28 (2016), Pagination:Abstract
This paper presents the time variability analysis of photoplethysmogram biometric identification system. There have been few researches discussing about the effectiveness of PPG signal as a biometric identification system in different time instances. PPG signals of 5 subjects were obtained from MIMIC II Waveform Database, version 3, part 3 with a sampling frequency of 125 Hz. The signals were pre-process using low pass Butterworth filter. Then, discriminating features were extracted from the PPG waveform in varying time instances (different days). Finally, this PPG samples were classified using commonly known classification techniques for person identification. Based on experimentation results, PPG signals when using LMT and FT gives identification rates of 96% for both classifiers. For sensitivity and specificity test, both LMT and FT give the accuracy of 0.96 and 0.01. The precision test gives the result of 0.962 for LMT and 0.964 for FT. Thus, this outcome suggests the feasibility and robustness of PPG signals as a biometric modality in different time instances.Keywords
Biometric, FT, LMT, PPG Signal, Person Identification, Time Variability.- Real Time PPG Data Acquisition with GUI based Application for HRV Measurement
Abstract Views :236 |
PDF Views:0
Authors
Affiliations
1 Department of Electrical and Computer Engineering, International Islamic University Malaysia, 53100 Kuala Lumpur, MY
1 Department of Electrical and Computer Engineering, International Islamic University Malaysia, 53100 Kuala Lumpur, MY