A biometric recognition method based on photoplethysmographic signals achieved an equal error rate of 5.29% for 40-second samples, demonstrating feasibility for continuous authentication systems.
This preliminary study explores continuous authentication methods using photoplethysmographic biometrics.
Recent studies in biometrics focus on one dimensional physiological signals commonly acquired in medical applications, like electrocardiogram (ECG), electroencephalograms (EEG), phonocardiogram (PCG), and photoplethysmogram (PPG). In this context, an important application is in continuous authentication scenarios since physiological signals are frequently captured for long time periods in order to monitor the health status of the patients.
Bonissi et al. (2013) studied Biometric authentication (n=44). Photoplethysmographic (PPG) biometric recognition was evaluated on Equal Error Rate (EER) for 40-second samples (DB40). A biometric recognition method based on photoplethysmographic signals achieved an equal error rate of 5.29% for 40-second samples, demonstrating feasibility for continuous authentication systems.