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出 处:《电子科技》2017年第7期94-98,共5页Electronic Science and Technology
摘 要:针对目前人体的心率测量方法普遍采用传统的接触式方法,设计了一种基于LabVIEW的人脸视频非接触式实时心率测量系统。通过普通摄像头捕捉人脸图像,对每帧的图像进行3基色分离,生成R、G、B三通道图像,通过肤色模型识别人脸,确定人脸的ROI区域并提取G通道的均值,结合小波变换消除信号的基线漂移和信号的波峰检测,最后得到测量的心率值。实验结果表明,该系统与市场上使用的心率监测仪相比最大测量误差为8.22%,基本能够满足实际的测量要求,操作简单,具有较好的应用价值。A non - contact real - time heart rate measurement system based on LabVIEW is designed for the human heart rate measurement to replace the traditional method of contact measurement. An ordinary camera captures face images, and three primary separation is performed for each frame of the images to generate R, G, B channel images, and the skin color model face recognition is used to determine the face ROI and extract the G channel mean, which are combined with wavelet transform to eliminate the signal baseline drift and peak detection, and finally the heart rate measurement value is obtained. The experimental results show that the maximum system is 8.22%, which meets the requirements of the actual measurement. The operation is simple and plication value. t error of the has good application value.
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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