Skip to main content
Integrated Approach for Nonintrusive Detection of Driver Drowsiness
Yu, Xun (Intelligent Transportation Systems Institute, Center for Transportation Studies, University of Minnesota, 2012)
 

Title 
Integrated Approach for Nonintrusive Detection of Driver Drowsiness

Author(s)

Issue Date
2012-10

Publisher
Intelligent Transportation Systems Institute, Center for Transportation Studies, University of Minnesota

Type
Report

Abstract
This project is the extension of Northland Advanced Transportation System Research Laboratory (NATSRL) FY 2008 and FY2009 projects titled, “Real-time Nonintrusive Detection of Driver Drowsiness,” which aims to develop a real-time, nonintrusive driver drowsiness detection system to reduce drowsiness-cause accidents. In our previous research, nonintrusive sensors for drivers’ heart beat measurement were developed and implemented on the vehicle steering wheel. Heart rate variability (HRV) was analyzed from the heart beat pulse signals for the detection of driver drowsiness. Promising results were obtained. However, one of the major issues with the previous system is using only one parameter, Low-Frequency (LF)/High-frequency (HF) ratio of HRV, to access the driver’s status, which has relative high variability and has different changing patterns for different drivers. In this project, we used multiple parameters for the drowsiness detection, including the LF/HF ratio, steering wheel motion variability and Electroencephalography (EEG) parameters. Correlations between these parameters are analyzed.

Appears in Collection(s)

Series/Report Number
CTS 12-32

Series/Report Number
CTS 12-32

Sponsorship
Department of Mechanical and Industrial Engineering, University of Minnesota Duluth; Northland Advanced Transportation Systems Research Laboratories, University of Minnesota Duluth

Suggested Citation
Yu, Xun. (2012). Integrated Approach for Nonintrusive Detection of Driver Drowsiness. Intelligent Transportation Systems Institute, Center for Transportation Studies, University of Minnesota. Retrieved from the University of Minnesota Digital Conservancy, http://purl.umn.edu/138800.


Content distributed via the University of Minnesota's Digital Conservancy may be subject to additional license and use restrictions applied by the depositor.