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Single-trial lie detection using a combined fNIRS-polygraph system

机译:使用组合的fNIRS-测谎仪系统进行单次测谎检测

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摘要

Deception is a human behavior that many people experience in daily life. It involves complex neuronal activities in addition to several physiological changes in the body. A polygraph, which can measure some of the physiological responses from the body, has been widely employed in lie-detection. Many researchers, however, believe that lie detection can become more precise if the neuronal changes that occur in the process of deception can be isolated and measured. In this study, we combine both measures (i.e., physiological and neuronal changes) for enhanced lie-detection. Specifically, to investigate the deception-related hemodynamic response, functional near-infrared spectroscopy (fNIRS) is applied at the prefrontal cortex besides a commercially available polygraph system. A mock crime scenario with a single-trial stimulus is set up as a deception protocol. The acquired data are classified into “true” and “lie” classes based on the fNIRS-based hemoglobin-concentration changes and polygraph-based physiological signal changes. Linear discriminant analysis is utilized as a classifier. The results indicate that the combined fNIRS-polygraph system delivers much higher classification accuracy than that of a singular system. This study demonstrates a plausible solution toward single-trial lie-detection by combining fNIRS and the polygraph.
机译:欺骗是许多人在日常生活中所经历的一种人类行为。除了人体的几种生理变化外,它还涉及复杂的神经元活动。测谎仪可以广泛地测量人体的某些生理反应,已广泛用于测谎。但是,许多研究人员认为,如果可以隔离和测量欺骗过程中发生的神经元变化,则谎言检测可以变得更加精确。在这项研究中,我们结合了两种措施(即生理和神经元变化)来增强测谎能力。具体来说,为了研究与欺骗有关的血液动力学反应,除了市售的测谎仪系统外,还在前额叶皮层应用功能性近红外光谱(fNIRS)。带有单项审判刺激的模拟犯罪场景被设置为欺骗协议。根据基于fNIRS的血红蛋白浓度变化和基于测谎仪的生理信号变化,将获取的数据分为“真实”和“谎言”两类。线性判别分析被用作分类器。结果表明,组合的fNIRS-测谎仪系统提供了比单一系统更高的分类精度。这项研究通过结合fNIRS和测谎仪,证明了对单次审判谎言检测的合理解决方案。

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