Quantitative Estimation of Driver's Mental Workload Using Heart Rate Variability

This paper proposes a way to estimate quantitatively driver’s mental workload using heart rate variability. It is assumed that the tolerance to driver’s mental workload is different depending on the individual. Therefore, the authors classify people based on their individual tolerance to mental workload. The authors estimation method is multiple linear regression analysis, and the authors compare it to NASA-TLX which is used as the evaluation method of subjective mental workload. As a result, the coefficient of correlation improved from R=0.83 to 0.91, and the standard deviation of error also improved. Therefore, the authors proposed method demonstrated the possibility to estimate mental workload quantitatively

• Availability:
  • Find a library where document is available. Order URL: http://itswc.confex.com/itswc/WC2011/webprogram/start.html
• Supplemental Notes:
  • Abstract reprinted with permission from Intelligent Transportation Society of America.
• Corporate Authors:

  ITS America

  1100 17th Street, NW, 12th Floor
  Washington, DC  United States  20036
• Authors:
  • Yokoi, Toshiyuki
  • Bhuiyan, Shoaib
  • Itoh, Michimasa
  • Oguri, Koji
• Conference:
  • 18th ITS World Congress
  • Location: Orlando Florida, United States
  • Date: 2011-10-16 to 2011-10-20
• Publication Date: 2011

Language

• English

Media Info

• Media Type: Digital/other
• Features: Photos; References; Tables;
• Pagination: 9p
• Monograph Title: 18th ITS World Congress, Orlando, 2011. Proceedings

Subject/Index Terms

• TRT Terms: Drivers; Heart rate; Monitoring; Regression analysis; Stress (Psychology); Tolerance (Physiology)
• Uncontrolled Terms: Workload (Drivers)
• Subject Areas: Highways; Safety and Human Factors; I83: Accidents and the Human Factor;

Filing Info

• Accession Number: 01449767
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 22 2012 9:14AM