Unobtrusive in-vehicle biosignal instrumentation for advanced driver assistance and active safety

In this work, we describe a set of integrated and ambient sensors, that can be used for the identification and evaluation of suitable sensors for the assessment of psychophysiologic driver state. Applications using this information cover a wide spectrum from driver vigilance monitoring to in-car health management. However, application specific, unobtrusive integration of sensors is necessary to keep the driver's distraction at a minimum. Therefore, contact and non-contact based physiological sensors and their integration into the car environment are presented here. Textile capacitive ECG electrodes have been developed and the integration of various physiological sensors into a Mercedes S-Class steering wheel is described. Furthermore, a custom embedded system has been designed to perform data acquisition and online processing of the biosignals and to provide an interface for car information systems.

[1]  P. Hamilton,et al.  Open source ECG analysis , 2002, Computers in Cardiology.

[2]  Jennifer Healey,et al.  Detecting stress during real-world driving tasks using physiological sensors , 2005, IEEE Transactions on Intelligent Transportation Systems.

[3]  U Ladstaetter Praediktion aufkommender Schlaefrigkeit am Kraftfahrzeugfuehrer anhand physiologischer Signale , 2006 .

[4]  Tim Lüth,et al.  A system for unobtrusive in-car vital parameter acquisition and processing , 2010, 2010 4th International Conference on Pervasive Computing Technologies for Healthcare.

[5]  G. Rigoll,et al.  The BMW SURF Project: A Contribution to the Research on Cognitive Vehicles , 2007, 2007 IEEE Intelligent Vehicles Symposium.

[6]  Kwang Suk Park,et al.  The relationship between HRV parameters and stressful driving situation in the real road , 2007, 2007 6th International Special Topic Conference on Information Technology Applications in Biomedicine.

[7]  Bernhard Wolf,et al.  Biopotentialerfassung für Land- und Luftfahrzeugführer zur personalisierten Assistenz , 2008 .

[8]  Kwang Suk Park,et al.  Nonintrusive Biosignal Measurement System in a Vehicle , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[9]  Frank Pasveer,et al.  Unobtrusive Sensing of Psychophysiological Parameters , 2008 .

[10]  Kwang Suk Park,et al.  Common mode noise cancellation for electrically non-contact ECG measurement system on a chair. , 2005, Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.

[11]  S. Tanaka,et al.  Feasibility study on driver's stress detection from differential skin temperature measurement , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[12]  Shang-Fei Hu,et al.  Pulse wave sensor for non-intrusive driver's drowsiness detection , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[13]  Stephan Heuer,et al.  Motion artefact correction for capacitive ECG measurement , 2009, 2009 IEEE Biomedical Circuits and Systems Conference.

[14]  S. Leonhardt,et al.  Non-contact ECG monitoring for automotive application , 2008, 2008 5th International Summer School and Symposium on Medical Devices and Biosensors.

[15]  Stephan Heuer,et al.  Towards a capacitively coupled electrocardiography system for car seat integration , 2009 .