Embedded System for ECG Biometrics

Biometric recognition has recently emerged has an alternative solution for applications where the privacy or the information is crucial. In this paper we present an embedded biometric recognition system based on the Electrocardiographic signals (ECG). The proposed system implements a real-time state-of-the-art recognition algorithm, which extracts information from the frequency domain, on an architecture based ARM Cortex 4. Using a sensor based on a two electrodes apparatus, the system is designed to be autonomous, non-intrusive and easy to use on different scenarios. Preliminary results show the successful real-time implementation on the embedded platform enabling its usage on a myriad of applications.