Biometric System based on EEG Signals by feature combination

摘要：

This paper focuses on the person authentication problem based on EEG signals. Many features extracted from EEG recordings have proved to be unique enough between subjects for biometric application.However, different features show different discriminative power for different subjects. Here an authentication system was presented, which makes use of feature combination architecture. The results demonstrate to improve the system performance. Depending on the security level, different thresholds can be applied. The influence of different thresholds on system performance is discussed.

关键词： Biometric Electroencephalogram (EEG) Feature combination Motor Imagery Authentication

作者: HU Jian-feng

作者单位: Institute of Information Technology Jiangxi Bluesky University Nanchang, Jiangxi 330098, China

会议类型: 国际会议

会议名称: 2010 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2010)(2010年检测技术与机电自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 752-755

在线出版日期: 2010-03-13（万方平台首次上网日期，不代表论文的发表时间）