Intelligent Driver Monitoring Based on Physiological Sensor Signals: Application Using Camera

Rahman, Hamidur; Begum, Shahina

doi:10.1109/itsc.2015.424

Cited by 12 publications

(8 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In cooperation with Volvo (Volvo Car Corporation, Torslanda, Gothenburg, Sweden), in 2015 Rahman and colleagues from Mälardalen University in Sweden published a comprehensive review paper on the state-of-the-art in driver heart rate monitoring using cameras for the visible light range [ 119 ]. In the following year, this group suggested using a webcam for real-time heart rate monitoring [ 120 ].…”

Section: Optical Methodsmentioning

confidence: 99%

Unobtrusive Vital Sign Monitoring in Automotive Environments—A Review

Leonhardt

Leicht

Teichmann

2018

Sensors

103

View full text Add to dashboard Cite

This review provides an overview of unobtrusive monitoring techniques that could be used to monitor some of the human vital signs (i.e., heart activity, breathing activity, temperature and potentially oxygen saturation) in a car seat. It will be shown that many techniques actually measure mechanical displacement, either on the body surface and/or inside the body. However, there are also techniques like capacitive electrocardiogram or bioimpedance that reflect electrical activity or passive electrical properties or thermal properties (infrared thermography). In addition, photopleythysmographic methods depend on optical properties (like scattering and absorption) of biological tissues and—mainly—blood. As all unobtrusive sensing modalities are always fragile and at risk of being contaminated by disturbances (like motion, rapidly changing environmental conditions, triboelectricity), the scope of the paper includes a survey on redundant sensor arrangements. Finally, this review also provides an overview of automotive demonstrators for vital sign monitoring.

show abstract

Section: Optical Methodsmentioning

confidence: 99%

Unobtrusive Vital Sign Monitoring in Automotive Environments—A Review

Leonhardt

Leicht

Teichmann

2018

Sensors

103

View full text Add to dashboard Cite

show abstract

“…RESP signals capture respiratory activity and are usually measured with a chest-worn strap (e.g., [43,59,87]). In addition, some studies extract RESP signals by analyzing different frequencies of HRV (e.g., [92,111]). Similar to CAR signals, new temporal information such as breathing rate (BR) can be derived by counting the number of oscillations.…”

Section: Biophysiological Signalsmentioning

confidence: 99%

Driver Emotion Recognition for Intelligent Vehicles

et al. 2020

View full text Add to dashboard Cite

Driving can occupy a large portion of daily life and often can elicit negative emotional states like anger or stress, which can significantly impact road safety and long-term human health. In recent decades, the arrival of new tools to help recognize human affect has inspired increasing interest in how to develop emotion-aware systems for cars. To help researchers make needed advances in this area, this article provides a comprehensive literature survey of work addressing the problem of human emotion recognition in an automotive context. We systematically review the literature back to 2002 and identify 63 peer-review published articles on this topic. We overview each study’s methodology to measure and recognize emotions in the context of driving. Across the literature, we find a strong preference toward studying emotional states associated with high arousal and negative valence, monitoring the different states with cardiac, electrodermal activity, and speech signals, and using supervised machine learning to automatically infer the underlying human affective states. This article summarizes the existing work together with publicly available resources (e.g., datasets and tools) to help new researchers get started in this field. We also identify new research opportunities to help advance progress for improving driver emotion recognition.

show abstract

“…Shin et al used a contact sensor to monitor PPG from the driver, on the basis of which they extracted the HRV information and further evaluated the driver’s drowsiness level. Researchers ,, suggested using camera to monitor physiological parameters such as heart rate, respiration rate, and HRV from PPG could help to monitor driver’s behavior and prevent driver fatigue. Sengupta found that the stress levels of a person, as measured by eyeblink rate and heart rate, showed an increase during stressful driving situations.…”

Section: Applications Of Noncontact Physiological Measurementsmentioning

confidence: 99%

Noncontact Physiological Measurement Using a Camera: A Technical Review and Future Directions

2020

View full text Add to dashboard Cite

Using a camera as an optical sensor to monitor physiological parameters has garnered considerable research interest in biomedical engineering in recent decades. Researchers have explored the use of a camera for monitoring a variety of physiological waveforms, together with the vital signs carried by these waveforms. Most of the obtained waveforms are related to the human respiratory and cardiovascular systems, and in addition of being indicative of overall health, they can also detect early signs of certain diseases. While using a camera for noncontact physiological signal monitoring offers the advantages of low cost and operational ease, it also has the disadvantages such as vulnerability to motion and lack of burden-free calibration solutions in some use cases. This study presents an overview of the existing camera-based methods that have been reported in recent years. It introduces the physiological principles behind these methods, signal acquisition approaches, various types of acquired signals, data processing algorithms, and application scenarios of these methods. It also discusses the technological gaps between the camera-based methods and traditional medical techniques, which are mostly contact-based. Furthermore, we present the manner in which noncontact physiological signal monitoring use has been extended, particularly over the recent years, to more day-to-day aspects of individuals’ lives, so as to go beyond the more conventional use case scenarios. We also report on the development of novel approaches that facilitate easier measurement of less often monitored and recorded physiological signals. These have the potential of ushering a host of new medical and lifestyle applications. We hope this study can provide useful information to the researchers in the noncontact physiological signal measurement community.

show abstract

Intelligent Driver Monitoring Based on Physiological Sensor Signals: Application Using Camera

Cited by 12 publications

References 33 publications

Unobtrusive Vital Sign Monitoring in Automotive Environments—A Review

Unobtrusive Vital Sign Monitoring in Automotive Environments—A Review

Driver Emotion Recognition for Intelligent Vehicles

Noncontact Physiological Measurement Using a Camera: A Technical Review and Future Directions

Contact Info

Product

Resources

About