Heart Rate Extraction Based on Near-Infrared Camera: Towards Driver State Monitoring

	Heart Rate Extraction Based on Near-Infrared Camera: Towards Driver State Monitoring
	Zhang, Qi; Zhou, Yimin; Song, Shuang; Liang, Guoyuan; Ni, Haiyang
刊名	IEEE Access
	2018
文献子类	期刊论文
英文摘要	In this paper, a remote sensing method for heart rate (HR) detection is proposed via nearinfrared facial video data, which can be used for the online monitoring of the physiological parameters of the drivers and further analysis so as to enhance the driving safety. The proposed HR detection method is based on an automatic facial tracking algorithm, i.e., the Kanade-Lucas-Tomasi, to transform the facial images into time-series signals. Empirical mode decomposition, bandpass filtering and fast Fourier transformation are applied to the time-series signals for the HR extraction. Indoor experiments in different scenarios are conducted to discuss the involved impact factors, i.e., the distance between the near-infrared camera and the participant, the illumination intensity and the video duration, to acquire the optimal settings for HR measurement. It is more robust and convenient than those of the current commercial devices and webcambased HR measurement approaches, especially in complex illumination environments, such as wearing hat, glasses or makeup, with measurement accuracy 95%. Field experiments are also performed for the prognosis of physical state of the driver
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/13676]
专题	深圳先进技术研究院_集成所
推荐引用方式 GB/T 7714	Zhang, Qi,Zhou, Yimin,Song, Shuang,et al. Heart Rate Extraction Based on Near-Infrared Camera: Towards Driver State Monitoring[J]. IEEE Access,2018.
APA	Zhang, Qi,Zhou, Yimin,Song, Shuang,Liang, Guoyuan,&Ni, Haiyang.(2018).Heart Rate Extraction Based on Near-Infrared Camera: Towards Driver State Monitoring.IEEE Access.
MLA	Zhang, Qi,et al."Heart Rate Extraction Based on Near-Infrared Camera: Towards Driver State Monitoring".IEEE Access (2018).