Title :
Arm Swing as a Weak Biometric for Unobtrusive User Authentication
Author :
Gafurov, Davrondzhon ; Snekkkenes, E.
Author_Institution :
Norwegian Inf. Security Lab., Gjovik Univ. Coll., Gjovik
Abstract :
Verifying the identity of a user before granting access to objects or services is an important step in nearly all applications or environments. Some applications (e.g. pervasive environment) may impose additional requirements for user authentication mechanism, such as to be continuous and unobtrusive. The former refers to constant or periodic re-assurance of the identity, while the latter means that the authentication mechanism should be unobtrusive and implicit (without attracting user´s attention). Traditional user authentication mechanisms (e.g. passwords or fingerprints) cannot be or is difficult to adapt to fulfill such requirements. This paper studies an unobtrusive mechanism of user authentication based on a new biometric modality. Arm swing, which occurs during gait, is proposed as a weak biometric for user authentication. We collected arm swing of the person by using a motion recording sensor, which records acceleration of the arm swing in three orthogonal directions. Using frequency domain analysis of the arm swing accelerations, we obtained anEqual Error Rate (EER) of 10% based on a preliminary data set including 120 arm swing samples from 30 persons.
Keywords :
authorisation; biometrics (access control); frequency-domain analysis; arm swing; constant reassurance; equal error rate; frequency domain analysis; motion recording sensor; periodic reassurance; unobtrusive user authentication; weak biometric; Acceleration; Authentication; Biomedical signal processing; Biometrics; Biosensors; Error analysis; Fingerprint recognition; Information security; Mobile handsets; Wearable sensors;
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2008. IIHMSP '08 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-0-7695-3278-3
DOI :
10.1109/IIH-MSP.2008.47