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

Zhang, Qi; Wu, Qingtian; Zhou, Yimin; Wang, Xinyu; Ou, Yongsheng; Zhou, Huazhang

doi:10.1016/j.measurement.2017.01.007

Cited by 55 publications

(27 citation statements)

References 17 publications

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“…Kuo et al [144] measured a driver's HR using video cameras, considering the in-vehicle environment. Another study by Zhang et al [145] used a webcam to monitor HR based on ICA during various driving situations. Other studies [146,147] have also applied the iPPG method to monitor the physiological parameters of drivers.…”

Section: Driver Monitoringmentioning

confidence: 99%

Remote Monitoring of Vital Signs in Diverse Non-Clinical and Clinical Scenarios Using Computer Vision Systems: A Review

2019

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Techniques for noncontact measurement of vital signs using camera imaging technologies have been attracting increasing attention. For noncontact physiological assessments, computer vision-based methods appear to be an advantageous approach that could be robust, hygienic, reliable, safe, cost effective and suitable for long distance and long-term monitoring. In addition, video techniques allow measurements from multiple individuals opportunistically and simultaneously in groups. This paper aims to explore the progress of the technology from controlled clinical scenarios with fixed monitoring installations and controlled lighting, towards uncontrolled environments, crowds and moving sensor platforms. We focus on the diversity of applications and scenarios being studied in this topic. From this review it emerges that automatic multiple regions of interest (ROIs) selection, removal of noise artefacts caused by both illumination variations and motion artefacts, simultaneous multiple person monitoring, long distance detection, multi-camera fusion and accepted publicly available datasets are topics that still require research to enable the technology to mature into many real-world applications.

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Section: Driver Monitoringmentioning

confidence: 99%

Remote Monitoring of Vital Signs in Diverse Non-Clinical and Clinical Scenarios Using Computer Vision Systems: A Review

2019

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“…PPG has been far more exploited over the last years than BCG. Applications cover mixed reality [27], newborn health monitoring [28], physiological measurements of drivers [29], automatic skin detection and segmentation [30] and face anti-spoofing [31].…”

Section: Cardiovascular Activitymentioning

confidence: 99%

Remote sensing of vital signs and biomedical parameters: A review

Bousefsaf¹,

Maaoui²,

Pruski³

2018

MMC_C

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According to the World Health Organization, cardiovascular diseases correspond to the prime cause of death globally. Several technologies are employed to measure vital signs remotely. For instance, webcams correspond to ubiquitous systems that can be used to detect cardiovascular pathologies by sensing important physiological parameters like pulse rate. A review of technologies and methods used to remotely measure vital signs and biomedical parameters is proposed in this article. Remote sensing of physiological parameters concerns every person: from healthy, ill or hospitalized persons to people with disabilities or with reduced autonomy.

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“…Finally, holograms are anchored to display the magni ed blood volume pulse and heart rate information. et al 2010, 2011Shao et al 2014;Zhang et al 2017]. ese methods have been shown to be robust in the presence of head motions and to be able to detect subtle aspects of the pulse waveform morphology [McDu et al 2014].…”

Section: Related Workmentioning

confidence: 99%

Pulse and vital sign measurement in mixed reality using a HoloLens

McDuff

Hurter

González-Franco

2017

Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology

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Cardiography, quantitative measurement of the functioning of the heart, traditionally requires customized obtrusive contact sensors. Using new methods photoplethysmography and ballistocardiography signals can be captured using ubiquitous sensors, such as webcams and accelerometers. However, these signals are not visible to the unaided eye. We present Cardiolens -a mixed reality system that enables real-time, hands-free measurement and visualization of blood ow and vital signs from multiple people. e system combines a front-facing webcam, imaging ballistocardiography, and remote imaging photoplethysmography methods for recovering pulse signals. A heads up display allows users to view their own heart rate whenever they are wearing the device and the heart rate and heart rate variability of another person simply by looking at them. Cardiolens provides the wearer with a new way to understand physiological signals and has applications in human-computer interaction and in the study of social psychology.

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

Cited by 55 publications

References 17 publications

Remote Monitoring of Vital Signs in Diverse Non-Clinical and Clinical Scenarios Using Computer Vision Systems: A Review

Remote Monitoring of Vital Signs in Diverse Non-Clinical and Clinical Scenarios Using Computer Vision Systems: A Review

Remote sensing of vital signs and biomedical parameters: A review

Pulse and vital sign measurement in mixed reality using a HoloLens

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