EEG-BASED BIOMETRIC RECOGNITION USING EIGENBRAINS

被引:0
|
作者
Maiorana, Emanuele [1 ]
La Rocca, Daria [1 ]
Campisi, Patrizio [1 ]
机构
[1] Univ Roma Tre, Sect Appl Elect, Dept Engn, Via Vito Volterra 62, I-00146 Rome, Italy
关键词
EEG; Brain waves; Biometrics; Biosignals; PCA; MPCA;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
An increased level of attention has recently raised on biometric recognition by means of electroencephalography (EEG). This modality in fact possesses several properties which may be appealing for automatic people recognition, such as the intrinsic liveness detection and the robustness against potential attacks. Moreover, it could be easily exploited in applications based on brain-computer interfaces (BCI). In this paper we exhaustively analyze the discriminative capability of a compact representation of EEG signals acquired in resting conditions. Specifically, the exploited templates are obtained as projections into a subspace defined through EigenBrains (EBs), a basis for EEG data relying on principal component analysis (PCA). An extensive set of experimental tests, conducted on a database comprising 60 users, is performed to evaluate the recognition capabilities of the proposed representation under different system configurations.
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页数:6
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