A New Approach for EEG-Based Biometric Authentication Using Auditory Stimulation

Sherif Nagib Abbas Seha, D. Hatzinakos
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引用次数: 6

Abstract

In this paper, a new approach is followed for the human recognition task using brainwave responses to auditory stimulation. A system based on this class of brainwaves benefits extra features over conventional traits being more secure, harder to spoof, and cancelable. For this purpose, EEG signals were recorded from 21 subjects while listening to modulated auditory tones in a single- and two-session setups. Three different types of features were evaluated based on the energy and the entropy estimation of the EEG sub-band rhythms using narrow band Gaussian filtering and wavelet packet decomposition. These features are classified using discriminant analysis in identification and verification modes of authentication. Based on the achieved results, high recognition rates up to 97.18% and low error rates down to 4.3% were achieved in single session setup. Moreover, in a two-session setup, the proposed system in this paper is shown to be more time-permanent in comparison to previous works.
听觉刺激下基于脑电图的生物识别认证新方法
本文提出了一种利用听觉刺激下的脑波响应来完成人类识别任务的新方法。基于这类脑电波的系统比传统的特征更安全、更难以欺骗和可取消。为此,在单次和两次设置中,记录了21名受试者在听调制的听觉音调时的脑电图信号。基于窄带高斯滤波和小波包分解对脑电子带节律的能量和熵估计,对三种不同类型的特征进行评估。这些特征在认证的识别和验证模式中使用判别分析进行分类。基于所取得的结果,在单会话设置中实现了97.18%的高识别率和4.3%的低错误率。此外,在两个会话设置中,与以前的工作相比,本文提出的系统更具时间永久性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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