Driver drowsiness is one of the major causes of deadly traffic accidents. Continuous monitoring of drivers’ drowsiness thus is of great importance for preventing drowsiness-caused accidents. Previous psychophysiological studies have shown that heart rate variability (HRV) has established differences between waking and sleep stages [1, 2]. This offers a way to detect driver’s drowsiness by analyzing HRV, which is typically measured and analyzed from electrocardiogram (ECG) signal. Although ECG measurement techniques are well developed, most of them involve electrode contacts on chest or head. Wiring and discomfort problems inherent in those techniques prevent implementing them on cars. To address these problems, we make full use of the environment settings in a car to develop two non-intrusive real-time ECG measurement methods for drivers.
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ASME 2008 Summer Bioengineering Conference
June 25–29, 2008
Marco Island, Florida, USA
Conference Sponsors:
- Bioengineering Division
ISBN:
978-0-7918-4321-5
PROCEEDINGS PAPER
Non-Intrusive ECG Measurement on Vehicle Steering Wheel and Driver Seat
Shan Hu
University of Minnesota Duluth, Duluth, MN
Xun Yu
University of Minnesota Duluth, Duluth, MN
Paper No:
SBC2008-192963, pp. 545-546; 2 pages
Published Online:
March 13, 2014
Citation
Hu, S, & Yu, X. "Non-Intrusive ECG Measurement on Vehicle Steering Wheel and Driver Seat." Proceedings of the ASME 2008 Summer Bioengineering Conference. ASME 2008 Summer Bioengineering Conference, Parts A and B. Marco Island, Florida, USA. June 25–29, 2008. pp. 545-546. ASME. https://doi.org/10.1115/SBC2008-192963
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