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:
  • 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:
  • Publication Date: 2011


  • 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

Filing Info

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