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Spontaneous lie detection using functional near-infrared spectroscopy in an interactive game

机译:在互动游戏中使用功能性近红外光谱自发测谎

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摘要

In this paper, we have demonstrated the ability of functional near-infrared spectroscopy (fNIRS) system to detect spontaneous lie in an interactive game paradigm. Brain signals from prefrontal cortex area of four healthy male subjects were collected using wireless fNIRS system. Oxy and deoxy-hemoglobin (HbO and HbR) signals were used to define the features and then data was classified using linear discriminant analysis (LDA). Results show that the differences in HbO and HbR signals during spontaneous lie and truth can be detected by the fNIRS system.
机译:在本文中,我们证明了功能性近红外光谱(fNIRS)系统能够检测交互式游戏范例中的自然谎言。使用无线fNIRS系统收集了来自四名健康男性受试者的前额叶皮层区域的脑信号。氧和脱氧血红蛋白(HbO和HbR)信号用于定义特征,然后使用线性判别分析(LDA)对数据进行分类。结果表明,fNIRS系统可以检测自发的谎言和真相期间HbO和HbR信号的差异。

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