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Thermal imaging to detect physiological indicators of stress in humans

机译:热成像检测人体压力的生理指标

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Real-time, stand-off sensing of human subjects to detect emotional state would be valuable in many defense, security and medical scenarios. We are developing a multimodal sensor platform that incorporates high-resolution electro-optical and mid-wave infrared (MWIR) cameras and a millimeter-wave radar system to identify individuals who are psychologically stressed. Recent experiments have aimed to: 1) assess responses to physical versus psychological stressors; 2) examine the impact of topical skin products on thermal signatures; and 3) evaluate the fidelity of vital signs extracted from thermal imagery and radar signatures. Registered image and sensor data were collected as subjects (n=32) performed mental and physical tasks. In each image, the face was segmented into 29 non-overlapping segments based on fiducial points automatically output by our facial feature tracker. Image features were defined that facilitated discrimination between psychological and physical stress states. To test the ability to intentionally mask thermal responses indicative of anxiety or fear, subjects applied one of four topical skin products to one half of their face before performing tasks. Finally, we evaluated the performance of two non-contact techniques to detect respiration and heart rate: chest displacement extracted from the radar signal and temperature fluctuations at the nose tip and regions near superficial arteries to detect respiration and heart rates, respectively, extracted from the MWIR imagery. Our results are very satisfactory: classification of physical versus psychological stressors is repeatedly greater than 90%, thermal masking was almost always ineffective, and accurate heart and respiration rates are detectable in both thermal and radar signatures.
机译:在许多防御,安全和医疗场景中,对人类对象进行实时,远距离感测以检测情绪状态非常重要。我们正在开发一种多模式传感器平台,该平台结合了高分辨率的电光和中波红外(MWIR)摄像机以及毫米波雷达系统,以识别有心理压力的人。最近的实验旨在:1)评估对生理和心理压力源的反应; 2)检查局部皮肤产品对热信号的影响;和3)评估从热图像和雷达信号提取的生命体征的保真度。当受试者(n = 32)进行精神和身体任务时,收集注册的图像和传感器数据。在每个图像中,根据我们的面部特征跟踪器自动输出的基准点,将面部分为29个不重叠的部分。定义了有助于区分心理压力状态和身体压力状态的图像特征。为了测试故意掩盖表示焦虑或恐惧的热反应的能力,受试者在执行任务之前将四种局部皮肤产品之一涂在其脸部的一半上。最后,我们评估了两种检测呼吸和心率的非接触式技术的性能:从雷达信号中提取的胸部位移以及鼻尖和浅动脉附近区域的温度波动,分别从呼吸中提取的呼吸和心率。 MWIR影像。我们的结果非常令人满意:身体和心理压力源的分类重复大于90%,热掩蔽几乎总是无效,并且在热信号和雷达信号中均可检测到准确的心脏和呼吸频率。

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