Detecting drowsiness of drivers with a deterministic hypovigilance diagnosis module.

Author(s)
Wilschut, E.S. Brouwer, R.F.T. Waard, D. de Duistermaat, M. Brookhuis, K.A. & Hogema, J.
Year
Abstract

In this experiment participants (n = 13) drove 8.5 hours in a driving simulator. Purpose was to effectively assess driver hypovigilance (drowsiness) with a deterministic Hypovigilance Diagnosis Module (HDMdet) in real time, based on the root mean square lateral position. In order to assess the diagnosis of HDMdet, an electrophysiological measure ofdrowsiness (EEG, power alpha-i) and rating of a subjective sleepiness scale (KSS) were taken. The algorithm for detection drowsiness did not meet the predefined standard (90% correct detection and less than 1% false alarms). Alpha-i showed that with time-on-task the activation level decreased. The relation between the alpha-i and KSS was positive and significant, but weak. (Author/publisher)

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Publication

Library number
20051216 ff ST (In: ST 20051216)
Source

In: Proceedings of the international workshop on modelling driver behaviour in automotive environments, Ispra, Italy, May 25-27, 2005, p. 297-299, 6 ref.

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