Most of the traffic accidents have been caused by driver's inattention. Therefore, driver monitoring is one of the most important challenges in order to prevent traffic accidents. Some studies for evaluating mental workload during driving have been reported; however driver's mental state should be estimated quantitatively for the future. This paper proposes an estimation method of driver's mental workload using physiological information. We defined mental workload as NASA-TLX score, and used the multiple linear regression to quantify driver's mental workload. As a result, higher accuracy was achieved by considering driver's aggression.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Estimation of driver's mental workload using visual information and heart rate variability


    Contributors:
    Kawakita, E (author) / Itoh, M (author) / Oguri, K (author)


    Publication date :

    2010-09-01


    Size :

    542126 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Driver's Mental Workload Estimation with Involuntary Eye Movement

    Le, Anh Son / Aoki, Hirofumi / Suzuki, Tatsuya | TIBKAT | 2020


    Evaluation of Driver's Mental Workload due to Visual and Auditory Cognition

    Okuwa, M. / Ebe, K. / Inagaki, H. et al. | British Library Online Contents | 2000


    The mental workload of a ship’s navigator using heart rate variability

    Murai, Koji / Hayashi, Yuji / Nagata, Noriko et al. | Emerald Group Publishing | 2004


    The Measurement of Driver's Mental Workload: A Simulation-Based Study

    Liu, N. / Zhang, K. / Sun, X. et al. | British Library Conference Proceedings | 2007


    The Measurement of Driver's Mental Workload: A Simulation-Based Study

    Liu, Ning / Zhang, Kan / Sun, Xianghong | ASCE | 2007