Non-Intrusive Driver Distraction Monitoring Using Vehicle Vibration Sensing

Among many causes for road traffic injuries, driver distraction has been identified as an increasing concern including the usage of mobile phones and other technologies. However, comprehensive monitoring of driver distraction without further interference is a challenging task. While the causes of distraction are various, the response of the driver tends to be physical (changing radio stations, leg placements, etc.) or cognitive (stressed, inattention, etc.). Among them, heart rate variability is a key indicator of driver’s stress level. The heart rate variability of the driver can be combined with other driver’s physiological states, to comprehensively infer both physical and cognitive distraction of the driver. Building on prior work using inertial sensors for driver status monitoring, the authors developed more in-depth analysis methods to extract heart rate variability of a driver using inertial sensors that are embedded into car seats. Specifically, the authors developed data analysis methods to extract heartbeats of a driver in a running car. This report includes system overview and findings.

• Record URL:
  • http://ppms.cit.cmu.edu/media/project_files/TSET_Final_Report_-_47_Non-Intrusive_Driver_Distraction_Monitoring_Using_Vehicle_Vibration_Sensing.pdf
• 
• Summary URL:
  • http://ppms.cit.cmu.edu/projects/detail/47
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  Technologies for Safe and Efficient Transportation University Transportation Center

  Carnegie Mellon University
  Pittsburgh, PA  United States  15213

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Noh, Hae Young
  • Zhang, Pei
• Publication Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Research Report
• Features: Figures; References;
• Pagination: 10p

Subject/Index Terms

• TRT Terms: Data collection; Distraction; Driver monitoring; Drivers; Heart rate; Sensors; Stress (Psychology); Vibration
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01684234
• Record Type: Publication
• Contract Numbers: DTRT12GUTG11
• Files: UTC, TRIS, ATRI, USDOT
• Created Date: Oct 25 2018 5:13PM