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首页> 外文会议>Annual International Conference of the IEEE Engineering in Medicine and Biology Society >Monitoring of periorbital blood flow rate through thermal image analysis and its application to polygraph testing
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Monitoring of periorbital blood flow rate through thermal image analysis and its application to polygraph testing

机译：通过热图像分析监测眶血流量及其在测谎检测中的应用

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In the present paper we describe a novel method for scoring polygraph tests using thermal image analysis. Our method features three stages: image acquisition, physiological correlation, and pattern classification. First, we acquire facial thermal imagery using an accurate mid-infrared camera. Then, we transform the raw thermal data to blood flow rate data through thermodynamic modeling. Finally, we classify the subject as deceptive or non-deceptive based on the nearest-neighbor classification method. We perform our analysis on the periorbital area of the subjects' faces. Our previous research has indicated that the periorbital area is the facial area affected the most from blood flow redistribution during anxious states. We present promising experimental results from 18 subjects. We henceforth anticipate that thermal image analysis will play an increasingly important role in polygraph testing as an additional scoring channel. Our ultimate objective is to increase the accuracy and reliability of polygraph testing through the fusion of traditional invasive 1D physiological measurements with novel non-invasive 2D physiological measurements.
机译：在本文中，我们描述了一种使用热图像分析进行测量测量检测的新方法。我们的方法具有三个阶段：图像采集，生理相关性和模式分类。首先，我们使用精确的中红外相机获得面部热图像。然后，通过热力学建模，我们将原始热数据转换为血流率数据。最后，我们根据最近邻的分类方法将受试者分类为欺骗性或非欺骗性。我们对受试者面孔的面部区域进行分析。我们以前的研究表明，Periobital面积是面部面积影响来自焦急状态的血流再分配。我们提出了来自18个科目的有希望的实验结果。因此，我们预计热量图像分析将在测谎仪测试中发挥越来越重要的作用作为额外的评分通道。我们的终极目标是通过用新型非侵入性2D生理测量来提高传统侵袭性1D生理测量的传统侵入性1D生理学测量的准确性和可靠性。

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