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Vehicle Driver Monitoring: sleepiness and cognitive load

Authors:

Emma Nilsson , Christer Ahlström , Shaibal Barua, Carina Fors , Per Lindén , Bo Svanberg , Shahina Begum, Mobyen Uddin Ahmed, Anna Anund

Research group:

Artificial Intelligence and Intelligent Systems

Publication Type:

Report

Venue:

Swedish National Road and Transport Research Institute (VTI)

Abstract

To prevent road crashes, it is important to understand driver related contributing factors. The overall aim of the Vehicle Driver Monitoring project was to advance the understanding of two such factors; sleepiness and cognitive distraction. The project aimed at finding methods to measure the two states, with focus on physiological measures, and to study their effect on driver behaviour. The data collection was done in several laboratory and driving simulator experiments. Much new knowledge and insights were gained in the project. Significant effects of cognitive load as well as of sleepiness were found in several physiological measures. The results also showed that context, including individual and environmental factors, has a great impact on driver behaviours, measures and driver experiences.

Bibtex

@techreport{Nilsson4801,
author = {Emma Nilsson and Christer Ahlstr{\"o}m and Shaibal Barua and Carina Fors and Per Lind{\'e}n and Bo Svanberg and Shahina Begum and Mobyen Uddin Ahmed and Anna Anund},
title = {Vehicle Driver Monitoring: sleepiness and cognitive load},
editor = {VTI},
month = {May},
year = {2017},
url = {http://www.es.mdu.se/publications/4801-}
}