Monitoring of car driver physiological parameters

Vavrinský, Erik; Tvarožek, V.; Stopjaková, Viera; Soláriková, Petra; Brezina, Igor

doi:10.1109/asdam.2010.5667021

Cited by 9 publications

(9 citation statements)

References 2 publications

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“…A similar system was presented by Vavrinsky et al in 2010 [ 30 ] and 2012 [ 31 ]. The system comprises two electrodes for ECG measurement, two GSR electrodes and two newly designed IDAT microsensors.…”

Section: Sensor Fusionmentioning

confidence: 81%

“… Overview of several designs for contact-based ECG monitoring (red: active electrodes, blue: driven ground electrode, green: electronics, precise electrode position on steering wheel not revealed): ( a ) Jeong [ 20 ]; ( b ) Lee [ 21 ], Silva [ 29 ], Vavrinsky [ 30 , 31 ]; ( c ) Matsuda [ 32 ], Xu [ 33 ]; ( d ) Heuer [ 25 ]; ( e ) D’Angelo [ 27 ]; ( f ) Gomez-Clapers [ 28 ]; ( g ) Jung [ 24 ]. …”

Section: Figurementioning

confidence: 99%

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Unobtrusive Vital Sign Monitoring in Automotive Environments—A Review

Leonhardt

Leicht

Teichmann

2018

Sensors

100

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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.

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Section: Sensor Fusionmentioning

confidence: 81%

Section: Figurementioning

confidence: 99%

Unobtrusive Vital Sign Monitoring in Automotive Environments—A Review

Leonhardt

Leicht

Teichmann

2018

Sensors

100

View full text Add to dashboard Cite

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“…When cameras are in use, the authors target PPG-derived HR or heart rate variability (HRV) [25,44,46,53,61]. Some work uses cameras naturally for activity or emotion monitoring [28,43]. The pulse oximeters are attached to the steering wheel and measure HR or RR [15,27,66].…”

Section: Sensorsmentioning

confidence: 99%

“…BCG sensors are widely explored for in-vehicle scenarios. HR and RR are the typical health parameters that can be extracted from BCG [28,31,57]. In recent years, a radar sensor has become a device for recording physiological parameters, such as HR and RR [45,48,55,62,64].…”

Section: Sensorsmentioning

confidence: 99%

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Unobtrusive Health Monitoring in Private Spaces: The Smart Vehicle

Wang

Warnecke

Haghi

et al. 2020

Sensors

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Unobtrusive in-vehicle health monitoring has the potential to use the driving time to perform regular medical check-ups. This work intends to provide a guide to currently proposed sensor systems for in-vehicle monitoring and to answer, in particular, the questions: (1) Which sensors are suitable for in-vehicle data collection? (2) Where should the sensors be placed? (3) Which biosignals or vital signs can be monitored in the vehicle? (4) Which purposes can be supported with the health data? We reviewed retrospective literature systematically and summarized the up-to-date research on leveraging sensor technology for unobtrusive in-vehicle health monitoring. PubMed, IEEE Xplore, and Scopus delivered 959 articles. We firstly screened titles and abstracts for relevance. Thereafter, we assessed the entire articles. Finally, 46 papers were included and analyzed. A guide is provided to the currently proposed sensor systems. Through this guide, potential sensor information can be derived from the biomedical data needed for respective purposes. The suggested locations for the corresponding sensors are also linked. Fifteen types of sensors were found. Driver-centered locations, such as steering wheel, car seat, and windscreen, are frequently used for mounting unobtrusive sensors, through which some typical biosignals like heart rate and respiration rate are measured. To date, most research focuses on sensor technology development, and most application-driven research aims at driving safety. Health-oriented research on the medical use of sensor-derived physiological parameters is still of interest.

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Robust in-vehicle heartbeat detection using multimodal signal fusion

Warnecke,

Lasenby,

Deserno

2023

Sci Rep

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A medical check-up during driving enables the early detection of diseases. Heartbeat irregularities indicate possible cardiovascular diseases, which can be determined with continuous health monitoring. Therefore, we develop a redundant sensor system based on electrocardiography (ECG) and photoplethysmography (PPG) sensors attached to the steering wheel, a red, green, and blue (RGB) camera behind the steering wheel. For the video, we integrate the face recognition engine SeetaFace to detect landmarks of face segments continuously. Based on the green channel, we derive colour changes and, subsequently, the heartbeat. We record the ECG, PPG, video, and reference ECG with body electrodes of 19 volunteers during different driving scenarios, each lasting 15 min: city, highway, and countryside. We combine early, signal-based late, and sensor-based late fusion with a hybrid convolutional neural network (CNN) and integrated majority voting to deliver the final heartbeats that we compare to the reference ECG. Based on the measured and the reference heartbeat positions, the usable time was 51.75%, 58.62%, and 55.96% for the driving scenarios city, highway, and countryside, respectively, with the hybrid algorithm and combination of ECG and PPG. In conclusion, the findings suggest that approximately half the driving time can be utilised for in-vehicle heartbeat monitoring.

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Monitoring of car driver physiological parameters

Cited by 9 publications

References 2 publications

Unobtrusive Vital Sign Monitoring in Automotive Environments—A Review

Unobtrusive Vital Sign Monitoring in Automotive Environments—A Review

Unobtrusive Health Monitoring in Private Spaces: The Smart Vehicle

Robust in-vehicle heartbeat detection using multimodal signal fusion

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