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Completed project

 

 

Efficiency and acceptance assessment of two different HMI solutions for drowsiness detection system

 

Reference: Ahlström, C., et al. (2010). Detecting sleepiness by Optalert - Final report. ViP publication 2010-2, Linköping: VTI, Sweden.

 

Reference: Börjesson, Emma & Johnsson, Johanna (2009). Gränssnitt för trötthetsvarningssystem - Utveckling och utvärdering av förargränssnitt för Scanias lastbilar. Master thesis, Ergonomisk design och Produktion, Luleå Tekniska Universitet (Company confidential, Scania).

Driving drowsy is identified as a major reason for traffic accidents. Thus, by enabling detection of this driver state many accidents could be avoided. The possibility to actually detect driver drowsiness is promising and a few vehicle manufacturers have already launched drowsiness detection systems in their vehicles.

 

The aim of the project is two-folded, to:

1.  develop strategies for drowsiness detection and evaluate two

     warning methods (these results will be classified and not

     discussed within VIP).

2.  to validate drowsiness detection methods, i.e. to investigate if

     and how Optalert could be used as a drowsiness detection

     system.

 

A simulator experiment will be conducted exploring Optalert and comparing it with other measures for drowsiness detection. Optalert data will be compared to reference data from EOG recordings, subjective ratings (KSS) and driving performance (lane departure measures in particular). The analysis undertaken is expected to reveal whether it is possible to use Optalert in driving simulators to detect drowsiness and to trigger drowsiness warnings.

 

Also, the project will provide EOG data for future meta analysis on differences in EOG, in simulators versus real driving, and for car drivers versus truck drivers.

 

Both project goals are for heavy vehicles where drivers tend to have good strategies for managing to stay awake and drive despite drowsiness.

 

Project manager: Hanna Johansson, Scania,  +46 (0)70 45 99 131

Project partners: Scania and VTI

Two master students from Luleå Technical University working for Scania

 

 

 


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