Heart Rate Variability for Biometric Authentication Using Time-Domain Features

Heart Rate Variability (HRV) is a natural property found in heart rate. Medical science since last two decades has been beholding on it as a diagnostic and prognostic tool. This study is intended towards harnessing the HRV property of heart for authentication purpose. For measuring the RR-Interval for HRV analysis, we used photoplethysmography (PPG) based pulse sensor and in-house designed microcontroller based RR-Interval measurement system. Data acquisition is done on PC via serial-to-USB bridge adaptor. Seven Time domain features are generated using standard statistical techniques. Out of 10 samples of each subject, five are used for template creations and other five are used for testing. The system resulted in 17 % EER. The FAR & FRR graph against threshold and the ROC curve are presented.