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Noncontact heart rate measurement using high sensitivity camera in low light environment

机译:在弱光环境下使用高灵敏度摄像头进行非接触式心率测量

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摘要

In this paper, we propose the method of remote estimationrnfor heart rate (HR) and heart rate variability spectrogram (HRVS)rnby analyzing hemoglobin concentration from facial RGB imagesrnin low light environment. The emotion monitoring has a greatrnpotential in areas such as market research, safety measure,rnmedical, and robot systems and so on. Various methods werernproposed for the remote emotion estimation. Especially, thernmethods to estimate emotion by analyzing physiological signalsrnfrom RGB video are expected to be used practically. However,rnthese studies could not be applied in dark places wherernmonitoring is necessary such as infant’s bedrooms, crime pronernroads and car drivers. Therefore, the proposed method uses thernhigh sensitivity RGB camera capable of capturing videos at lowrnilluminance. As the result, we could measure HR with over 99%rnaccuracy and estimate HRVS with high accuracy in low lightrnenvironments of 10 lux that is the same brightness as the twilightrnwhere this low light environment is required in monitoring infant’srnbedrooms, crime prone roads, car drivers.
机译:本文通过分析弱光环境下人脸RGB图像中的血红蛋白浓度,提出了心率(HR)和心率变异性图(HRVS)rn的远程估计方法。情绪监控在市场研究,安全措施,医疗和机器人系统等领域具有巨大的潜力。提出了多种远程情绪估计方法。特别地,期望通过分析来自RGB视频的生理信号来估计情绪的方法被实际使用。但是,这些研究不适用于需要监控的黑暗地方,例如婴儿卧室,犯罪现场和汽车驾驶员。因此,提出的方法使用能够在低照度下捕获视频的高灵敏度RGB相机。结果,我们可以以超过99%的准确度测量HR,并在10 lux的低光照环境下以高精度估算HRVS,该亮度与暮光环境下的亮度相同,在低光照环境下监视婴儿的卧室,犯罪倾向的道路,汽车司机。

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