Automatic detection system of micro sleeps of car drivers based on EEG analysis
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Abstract
Many car incidents happen because the driver falls asleep. The onset of micro-sleeps can be detected by decreasing activity of alpha brain waves and increasing activity of delta brain waves. To develop an automated system for micro-sleeps detection an analysis tool for EEG recordings has been developed. The system has been tested in several experiments of drivers in a car simulator. The developed prototype, experiments and experimental results will be reported in this paper.