Title :
Facial behavior as behavior biometric? an empirical study
Author :
Tsai, Pohsiang ; Hintz, Tom ; Jan, Tony
Author_Institution :
Univ. of Technol., Sydney
Abstract :
Physiological and/or behavioral characteristics of humans such as face, gait and/or voice have been used in biometric recognition technology. Apart from those characteristics reported in the literature, the hypothesis of this research was to initially investigate if human facial behaviors could also be used as another behavioral traits for human identification. We used kernel subspace analysis method to analyze the data so as to support our hypothesis. We used the Japanese Female Facial Expression (JAFFE) database as it provides the facial behavior traits for data collection. The experimental results indicate that facial behaviors may provide information about individual differences, thus may be used as another behavioral biometric.
Keywords :
behavioural sciences computing; biometrics (access control); face recognition; feature extraction; gesture recognition; principal component analysis; psychology; Japanese Female Facial Expression database; behavior biometric; behavioral characteristics; biometric recognition; human facial behavior; human identification; kernel principle component analysis; kernel subspace analysis; physiological characteristics; Australia; Biometrics; Character recognition; Eyes; Face recognition; Facial features; Humans; Information technology; Kernel; Speech recognition; biometrics; face recognition; facial behaviors; facial fiducial points; kernel discriminant analysis; kernel principle component analysis; subspace analysis;
Conference_Titel :
Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-0990-7
Electronic_ISBN :
978-1-4244-0991-4
DOI :
10.1109/ICSMC.2007.4414085