Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
