Fusion of gait and ECG for biometric user authentication

A new multi-modal biometric authentication approach using gait and electrocardiogram (ECG) signals as biometric traits is proposed. The individual comparison scores derived from the gait and ECG are normalized using several methods (min-max, z-score, median absolute deviation, tangent hyperbolic) an...

Full description

Saved in:
Bibliographic Details
Published in2014 International Conference of the Biometrics Special Interest Group (BIOSIG) pp. 1 - 4
Main Authors Derawi, Mohammad, Voitenko, Iurii
Format Conference Proceeding
LanguageEnglish
Published Gesellschaft für Informatik e.V. - GI 01.09.2014
Subjects
Accelerometers
Authentication
Educational institutions
Electrocardiography
Gait recognition
Mobile handsets
Wireless communication
Online AccessGet full text

Cover

More Information
Summary:A new multi-modal biometric authentication approach using gait and electrocardiogram (ECG) signals as biometric traits is proposed. The individual comparison scores derived from the gait and ECG are normalized using several methods (min-max, z-score, median absolute deviation, tangent hyperbolic) and then four fusion approaches (simple sum, user-weighting, maximum score and minimum core) are applied. Gait samples are obtained by using a inbuilt accelerometer sensor from a mobile device attached to the hip. ECG signals are collected by a wireless ECG sensor, which is based on a 2 led ECG signals attached on the breast. The fusion results of these two biometrics show an improved performance and a large step closer for user authentication for biometric user authentication.
ISBN:9783885796244
3885796244