Using the photoplethysmographic (PPG) signal produced by pulse oximeters for biometric identification is a new approach to secure authentication. PPG signals can be acquired easily and at relatively low cost with the corresponding devices. The thesis aims to develop a mobile application for biometric recognition with this method. It includes a review of the related literature and of the methods for processing a person’s PPG signals for use as a biometric feature, and the development of a mobile application that communicates with a pulse oximeter over the BLE protocol to collect the PPG signal and process it locally or send it to a server.
