TY - CONF
T1 - A behavioural biometric system based on human computer interaction
AU - Gamboa, Hugo Filipe Silveira
AU - Fred, Ana
PY - 2004/1/1
Y1 - 2004/1/1
N2 - In this paper we describe a new behavioural biometric technique based on human computer interaction. We developed a system that captures the user interaction via a pointing device, and uses this behavioural information to verify the identity of an individual. Using statistical pattern recognition techniques, we developed a sequential classifier that processes user interaction, according to which the user identity is considered genuine if a predefined accuracy level is achieved, and the user is classified as an impostor otherwise. Two statistical models for the features were tested, namely Parzen density estimation and a unimodal distribution. The system was tested with different numbers of users in order to evaluate the scalability of the proposal. Experimental results show that the normal user interaction with the computer via a pointing device entails behavioural information with discriminating power, that can be explored for identity authentication.
AB - In this paper we describe a new behavioural biometric technique based on human computer interaction. We developed a system that captures the user interaction via a pointing device, and uses this behavioural information to verify the identity of an individual. Using statistical pattern recognition techniques, we developed a sequential classifier that processes user interaction, according to which the user identity is considered genuine if a predefined accuracy level is achieved, and the user is classified as an impostor otherwise. Two statistical models for the features were tested, namely Parzen density estimation and a unimodal distribution. The system was tested with different numbers of users in order to evaluate the scalability of the proposal. Experimental results show that the normal user interaction with the computer via a pointing device entails behavioural information with discriminating power, that can be explored for identity authentication.
KW - feature extraction
KW - statistical learning
KW - biometric authentication
KW - behavioural biometrics
KW - human computer interaction
KW - Biometric authentication
KW - Statistical learning
KW - Behavioural biometrics
KW - Human computer interaction
KW - Feature extraction
UR - http://www.scopus.com/record/display.uri?eid=2-s2.0-8844279221&origin=resultslist&sort=plf-f&src=s&st1
U2 - 10.1117/12.542625
DO - 10.1117/12.542625
M3 - Paper
SP - 381
EP - 392
ER -