基于网络摄像头的驾驶员生理参数非接触式实时监测

The 4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Pub Date : 2014-06-04 DOI:10.1109/CYBER.2014.6917541

Qi Zhang, Guoqing Xu, Ming Wang, Yimin Zhou, WeiTing Feng

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引用次数: 35

摘要

本文设计了一种实时心率和呼吸频率检测系统。使用网络摄像头测量司机的心率和呼吸频率，实时监测他们的心理活动。面部有血液循环的皮肤可以引起颜色变化，从而获得心率和呼吸频率的信息。利用图像处理过程中的RGB颜色波动和视频跟踪中的盲源分离技术进行信息提取。与现有的商用检测设备相比，非接触式检测方法可以测量心率和呼吸频率，但参与者的剧烈运动会影响准确性。仿真结果验证了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Webcam based non-contact real-time monitoring for the physiological parameters of drivers

In this paper, a real-time heart rate and respiratory rate detection systems is designed. A webcam is used to measure the heart rate and respiratory rate of drivers for monitoring their mental activities in real time. Facial skin with blood circulation can cause color variation so that the information of the heart rate and breathing frequency can be obtained. The RGB color fluctuation during image processing and blind source separation technology in video tracking are used for information extraction. Compared with the existing commercial detection equipment, non-contact detection method can measure the heart rate and respiratory rate, but the participant's intense motion can affect the accuracy. Simulation results have been implemented to testify the effectiveness of the proposed method.

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来源期刊

The 4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent

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