Multimodal biometric system combining ECG and sound signals

Authors:
Marcin D. Bugdol;Andrzej W. Mitas
Affiliations:
-;-
Venue:
Pattern Recognition Letters
Year:
2014

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Abstract

In the paper a novel multimodal, behavioural biometric system that combines ECG and sound signal is described. The signal acquisition has been carried out in a small stress condition when the user has been asked to utter sounds at a given pitch. Thanks to the stimulations the ECG signal and especially the HR vary over time and these changes can be used to extract biometric features which represent an individual response to the stimuli. The proposed approach utilised popular statistical coefficients which are computationally effective and simple.