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EEG-Based Personal Identification

Posted on:2012-12-26Degree:MasterType:Thesis
Country:ChinaCandidate:L W XiaFull Text:PDF
GTID:2178330335959817Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
Electroencephalography (EEG) is the recording of electrical activity along the scalp produced by the firing of neurons within the brain. Several studies have been proposed using EEG signals from multiple electrodes as a biometric modality for personal identification. However, the conventional EEG recording systems for medical use are expensive and the recording process is complex and time-consuming. These restrictions hinder the applications of EEG-based personal identification system in practice. To evaluate the feasibility of using EEG as an independent biometric modality in personal identification and to performance to improve the security and privacy of the existing biometric systems, this paper studied several problems in the applications of EEG based identification based on the portable recording system.The main tasks of this paper are as follows:1. The Bayes model based automatic noise removing method is proposed for the single channel EEG. Experimental results show that our method can remove the Electromyography and Electrooculogram effectively while keeping the EEG signal characteristic furthest.2. The Burg AR model parameters and Burg PSD are selected as features of EEG and the median identification accuracy is 96.9% on the database including 40 subjects. Experimental results show the feasibility of using EEG as an independent biometric modality in personal identification.3. The statistical hypothesis test method is proposed to evaluate the effects of person's diet and circadian on the EEG-based personal identification system. Experimental results show that the EEG recording factors would decrease the accuracy of the performance to a certain extent. However, the identification performance can be improved through building more representative training sets.4. To evaluate whether EEG can be a supplemental modality of other biometric modalities and the possibility to improve the security and accuracy of the biometric systems, this paper realized a prototype dual-biometric-modality identification system based on fingerprint and EEG. Experimental results show that the matching performance under the dual-modal biometric system is higher than the single-mode system.
Keywords/Search Tags:electroencephalogram, biometrics, biometric modality, personal identification, multimodal fusion
PDF Full Text Request
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