Brain Signal Based Continuous Authentication: Functional NIRS Approach
Brain Signal Based Continuous Authentication: Functional NIRS Approach
复制标题
基于脑信号的连续认证：功能 NIRS 方法
DOI：
10.1007/978-3-642-38682-4_20
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Y. Matsuyama
中科院分区：
文献类型：
--
作者：
M. Shozawa;Ryota Yokote;Seira Hidano;Chi;Y. Matsuyama
提出了一种新的连续认证方法。该方法是基于脑信号的统计决策机的组合。功能近红外光谱（NIRS）用于测量每个待验证受试者的脑氧合血红蛋白变化。这种生物信号认证有望成为传统静态安全系统的一种可行的补充方法。所设计的系统是基于一个判别函数，它利用一对一支持向量机的平均权重向量的近红外光谱。通过计算马氏距离的直方图，识别出受试者之间的高可分性。这一实验结果保证了脑近红外光谱信号在连续认证中的实用性。
A new approach to continuous authentication is presented. The method is based on a combination of statistical decision machines for brain signals. Functional Near InfraRed Spectroscopy (NIRS) is used to measure brain oxyhemoglobin changes for each subject to be authenticated. Such biosignal authentication is expected to be a viable complementary method to traditional static security systems. The designed system is based on a discriminant function which utilizes the average weight vector of one-versus-one support vector machines for NIRS spectra. By computing a histogram of Mahalanobis distances, high separability among subjects was recognized. This experimental result guarantees the utility of brain NIRS signals to the continuous authentication.
DOI：
10.1016/j.engappai.2005.01.002
发表时间：
2005-09
期刊：
Eng. Appl. Artif. Intell.
影响因子：
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作者：
N. Katsumata;Y. Matsuyama
通讯作者：
N. Katsumata;Y. Matsuyama