Driver's mental workload affects driving performance. The safety technology systems equipped on vehicles need to infer the mental workload in order to decrease driver's stress and provide safety to drivers. The mental workload could be evaluated by physiological data such as slow fluctuations (LF and HF) of heart rate. LF and HF can be estimated from pupil diameter variations in same frequency band as heart rate. In this study, we measured pupil diameter variations while participants drove on the general road and metropolitan expressway. After the experiment, the participants scored their mental workload levels. Then we tested whether their subjective mental workload levels were classified from slow fluctuations in left and right pupil diameter variations by the linear support vector machine. The classification accuracies were significantly higher than the chance level except for one participant. Our results suggest that driver's mental workload levels may be predicted from slow fluctuations of pupil diameters in daily driving.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Prediction of Driver's Workload from Slow Fluctuations of Pupil Diameter


    Contributors:


    Publication date :

    2018-11-01


    Size :

    494520 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Decrease Driver’s Workload and Increase Vigilance

    Miglianico, Denis / Pargade, Vincent | Springer Verlag | 2019


    Driver's Mental Workload Estimation with Involuntary Eye Movement

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


    Pupil dilation as a measure of workload

    Anderson, R. O. / Pietrzak, P. E. | NTRS | 1967


    Driver's workload analysis for waste collection vehicle routing problem

    Benjamin, Aida Mauziah / Rahman, Syariza Abdul / Hashim, Fazlini | IEEE | 2015