Biometric Person Authentication Using New Spectral Features of Electroencephalogram (EEG)

被引：0

作者：

Miyamoto, Chisei ^{[1
]}

Baba, Sadanao ^{[1
]}

Nakanishi, Isao ^{[1
]}

机构：

[1] Tottori Univ, Fac Engn, Tottori 6808552, Japan

来源：

2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATIONS SYSTEMS (ISPACS 2008) | 2008年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The electroencephalogram (EEG) is suitable for continuous authentication since it enables unconscious presentation of biometric features. However, the conventional authentications methods using the EEG require heavy computational load: AR modeling and/or machine learning. In this paper, we propose simple spectral features of the EEG to make the authentication system using the EEG more practical. The effectiveness of the proposed new features is evaluated in verification experiments with 23 users and we obtain the verification rate of 79%.Introduction

引用

页码：130 / 133

页数：4

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