Automatic driver sleepiness detection using EEG, EOG and contextual information

Publisher's full text
Shaibal Barua
Mobyen Uddin Ahmed
Shahina Begum

The many vehicle crashes that are caused by driver sleepiness each year advocates the development of automated driver sleepiness detection (ADSD) systems. This study proposes an automatic sleepiness classification scheme designed using data from 30 drivers who repeatedly drove in a high-fidelity driving simulator, both in alert and in sleep deprived conditions. Driver sleepiness classification was performed using four separate classifiers: k-nearest neighbours, support vector machines, case-based reasoning, and random forest, where physiological signals and contextual information were used as sleepiness indicators. The subjective Karolinska sleepiness scale (KSS) was used as target value. An extensive evaluation on multiclass and binary classifications was carried out using 10-fold cross-validation and leave-one-out validation. With 10-fold cross-validation, the support vector machine showed better performance than the other classifiers (79% accuracy for multiclass and 93% accuracy for binary classification). The effect of individual differences was also investigated, showing a 10% increase in accuracy when data from the individual being evaluated was included in the training dataset. Overall, the support vector machine was found to be the most stable classifier. The effect of adding contextual information to the physiological features improved the classification accuracy by 4% in multiclass classification and by and 5% in binary classification.



Lunch seminar in transport economics

Professor Stef Proost, KU Leuven presents "What Role for Electric Vehicles in Decarbonizing the Car Sector in the EU?"

European Road Profile User's Group, ERPUG

Welcome to the sixth ERPUG meeting in Vilnius, Lithuania. 

ICTTP 2020

ICTTP, International Conference on Traffic and Transport Psychology, is held in Gothenburg, Sweden.



Several actors collaborating on HCT vehicles

The increasing amount of freight, congestion on the roads and environmental emissions are problems that high capacity vehicles, HCT vehicles, can contribute to solving.


VTI’s simulators are being used for emergency vehicles

Better accessibility and shorter response times for emergency vehicles – this is something that standardised, directed, traffic messages, transmitted over the 5G network can contribute. Within the EU project Nordic Way 2, a functioning prototype of such a...


Modal shift - a way to achieve the environmental objectives

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Report regarding government commission on the costs of traffic to society has been submitted

Since 2013, the Swedish National Road and Transport Research Institute (VTI) has had several government commissions to produce documentation on the costs to society caused by traffic. On 1 November 2018, the agency reported its latest commission, Samkost 3....


International standardisation efforts have many advantages

VTI participates in several international standardisation committees. The work is important because it helps to ensure that standards can be adapted to Swedish conditions and it also provides access to valuable contacts and networks.


China wants to work with the best

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