Qi Zhang, Guoqing Xu, Ming Wang, Yimin Zhou, WeiTing Feng
{"title":"Webcam based non-contact real-time monitoring for the physiological parameters of drivers","authors":"Qi Zhang, Guoqing Xu, Ming Wang, Yimin Zhou, WeiTing Feng","doi":"10.1109/CYBER.2014.6917541","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":183401,"journal":{"name":"The 4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"35","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CYBER.2014.6917541","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 35
Abstract
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.