Robustness of Remote Stress Detection from Visible Spectrum Recordings

机译：可见光谱记录的远程应力检测的鲁棒性

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In our recent work, we have shown that it is possible to extract high fidelity timing information of the cardiac pulse wave from visible spectrum videos, which can then be used as a basis for stress detection. In that approach, we used both heart rate variability (HRV) metrics and the differential pulse transit time (dPTT) as indicators of the presence of stress. One of the main concerns in this analysis is its robustness in the presence of noise, as the remotely acquired signal that we call blood wave (BW) signal is degraded with respect to the signal acquired using contact sensors. In this work, we discuss the robustness of our metrics in the presence of multiplicative noise. Specifically, we study the effects of subtle motion due to respiration and changes in illumination levels due to light flickering on the BW signal, the HRV-driven features, and the dPTT. Our sensitivity study involved both Monte Carlo simulations and experimental data from human facial videos, and indicates that our metrics are robust even under moderate amounts of noise. Generated results will help the remote stress detection community with developing requirements for visual spectrum based stress detection systems.

机译：在我们最近的工作中，我们已经表明可以从可见光谱视频中提取心脏脉搏波的高保真定时信息，然后将其用作压力检测的基础。在这种方法中，我们同时使用了心率变异性（HRV）指标和差分脉冲传输时间（dPTT）作为压力存在的指标。该分析中主要关注的问题之一是它在存在噪声的情况下的鲁棒性，因为相对于使用接触式传感器获得的信号而言，被称为血流（BW）信号的远程获得的信号质量有所下降。在这项工作中，我们讨论了在存在乘法噪声的情况下指标的稳健性。具体而言，我们研究了由于呼吸引起的微妙运动以及由于光线在BW信号，HRV驱动的功能和dPTT上的闪烁而导致的照明水平变化的影响。我们的敏感性研究同时涉及了蒙特卡洛模拟和来自人脸视频的实验数据，并表明即使在适度的噪声下，我们的指标也很可靠。产生的结果将帮助远程压力检测社区满足基于视觉频谱的压力检测系统的需求。

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来源
《Sensing and analysis technologies for biomedical and cognitive applications 2016》|2016年|987104.1-987104.9|共9页
会议地点 Baltimore MD(US)
作者
Balvinder Kaur; Sophia Moses; Megha Luthra; Vasiliki N. Ikonomidou;
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作者单位

U.S. Army RDECOM CERDEC, NVESD, Fort Belvoir, VA 22060,George Mason University, Department of Electrical and Computer Engineering, Fairfax, Virginia 22030;

George Mason University, Department of Bioengineering, Fairfax, Virginia 22030;

George Mason University, Department of Bioengineering, Fairfax, Virginia 22030;

George Mason University, Department of Electrical and Computer Engineering, Fairfax, Virginia 22030,George Mason University, Department of Bioengineering, Fairfax, Virginia 22030;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Visible Spectrum; Remote Sensing; Blood Wave (BW) Signal; Heart Rate Variability (HRV); Differential Pulse Transit Time (dPTT);

机译：可见光谱遥感;血波（BW）信号；心率变异性（HRV）；差分脉冲传输时间（dPTT）;

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4. Robustness of Remote Stress Detection from Visible Spectrum Recordings [C] . Balvinder Kaur, Sophia Moses, Megha Luthra, Conference on sensing and analysis technologies for biomedical and cognitive applications . 2016

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Robustness of Remote Stress Detection from Visible Spectrum Recordings

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