Title :
Automatic recognition of the person by ECG signals characteristics
Author :
Paulet, Marius Valerian ; Salceanu, Andrei ; Salceanu, Alexandru
Author_Institution :
Dept. of Electr. Meas. & Mater., “Gheorghe Asachi” Tech. Univ. of Iasi, Iasi, Romania
Abstract :
Biometrics is widely used as a solid feature in the check-in of the individual identity. Recognition of persons based on biometric attributes could give a safe access in different locations. The identification of an individual could be firmly based on distinctive elements derived from his physiological and/or behavioral characteristics. Up to now researches have shown that the ECG signal could be used as a biometric signal undoubtedly identifying any individual. In this article the authors have developed a system based on the processing of growth velocity QR of the slope.
Keywords :
biometrics (access control); electrocardiography; feature extraction; medical signal processing; ECG signal characteristics; automatic person recognition; behavioral characteristics; biometric attribute; growth velocity; location access; physiological characteristics; slope QR; Biometrics (access control); Databases; Electrocardiography; Electrodes; Feature extraction; Heart rate variability; ECG signals; growth velocity QR of the slope; recognition of persons;
Conference_Titel :
Advanced Topics in Electrical Engineering (ATEE), 2015 9th International Symposium on
Conference_Location :
Bucharest
DOI :
10.1109/ATEE.2015.7133780
