The aims were to utilise EEG changes during fatigue for development of fatigue countermeasure software and to test the ability of such software in detecting fatigue. EEG was obtained in twenty truck drivers during a driver simulator task till subjects fatigued. Changes found in delta, theta, alpha and beta activity were used to develop algorithms for the software. The software was designed to detect an alert state and early, medium and extreme levels of fatigue. The software was capable of detecting fatigue accurately in all ten subjects. The percentage of time the subjects were detected to be in a fatigue state was significantly different to the alert phase. For 40 percent of the total driving time subjects were alert and for 60 percent of the time, the software detected one of the three fatigue states. In on-line analysis the software could alert the three stages of fatigue. The software could detect fatigue accurately. This is the first countermeasure software that can detect fatigue based on EEG changes in all bands. (Author/publisher) For the covering entry of this conference, please see ITRD abstract no. E208431.
Samenvatting