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Webinar Available


Non-Intrusive Detection of Driver Drowsiness

Thursday, November 19
3:30 p.m. - 4:30 p.m. CST
Room 1130, Mechanical Engineering Building

Part of the Fall 2009 Advanced Transportation Technologies Seminar Series.

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Driver drowsiness is one of the major causes of serious traffic accidents, which makes this an area of great socioeconomic concern. Continuous monitoring of driver drowsiness is important to reduce drowsiness-caused accidents.

This seminar will present a real-time, nonintrusive driver-drowsiness detection system that uses biosensors on the automobile steering wheel to measure driver heartbeat signals. The system analyzes heart-rate variability (HRV), a physiological signal that has established links to waking and sleepiness stages. The design of this drowsiness detection system minimizes annoyance to the driver, and the use of a physiological signal ensures accuracy in the detection of drowsiness. Preliminary results of this research show a correlation between the HRV signal and the stages of the driver’s drowsiness.


Xun Yu, an assistant professor in the Department of Mechanical and Industrial Engineering at the University of Minnesota Duluth, is interested in developing sensors for intelligent transportation systems in vehicles and infrastructure. His research interests also include nanotechnology, biomedical devices, sensors, and controls.

More information

Contact Shawn Haag, 612-625-5608 or