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Novel analysis technique for a brain biometric system

机译:大脑生物特征识别系统的新型分析技术

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We present various techniques to detect a target in an oddball paradigm. These techniques are presented with reference to two P300 paradigms being studied to build a biometric system using electroencephalogram (EEG) signals. The novel inblock paradigm presented in this paper proposes a possible variant to the known oddball paradigm and analyses the effect of spatial location of the target block with respect to the non-target block. It brings out a new approach in the oddball paradigm, wherein location of the target might help evoke a higher P300 potential. A comparison of the various analysis techniques studied for both the paradigms is also presented. Initial results from four subjects show that energy analysis gave improved results than the traditional amplitude analysis techniques for target detection in the studied oddball paradigms. The results were comparable for all subjects except for one subject where energy analysis provided better target detection, suggesting that energy based methods could be further explored. This proposed novel paradigm is a step towards the online brain biometric system which is being built for authentication in high security scenarios.
机译:我们提出了各种技术来检测奇异球范式中的目标。这些技术是参考两个正在研究的使用脑电图(EEG)信号构建生物识别系统的P300范例提出的。本文提出的新颖的块内范式提出了一种已知的奇数球范式的可能变体,并分析了目标块相对于非目标块的空间位置影响。它提出了一种奇异球范式的新方法,其中目标的位置可能有助于唤起更高的P300潜力。还介绍了针对这两种范例研究的各种分析技术的比较。来自四个主题的初步结果表明,在所研究的奇异球范式中,能量分析比用于目标检测的传统幅度分析技术提供了更好的结果。除能量分析可提供更好的目标检测的一个受试者外,所有受试者的结果均具有可比性,这表明可以进一步探索基于能量的方法。这个提出的新颖范例是朝着在线大脑生物特征识别系统迈出的一步,该系统正在为高安全性场景中的认证而构建。

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