Samenvatting
This paper presents a research developed in order to achieve a multidimensional measurement of drowsiness in drivers, and to find patterns in biomedical and biomechanical variables that allow to characterize the drowsiness cycle. Biomedical signals, eye closure, pressures on the seat, and longitudinal and lateral control of the vehicle have been recorded in a drivingsimulator, during a test in an environment that induced drowsiness, whilesubjects were motivated to struggle against sleep. Drowsiness was successfully induced in 80% of the subjects, and related changes in the measured signals was analyzed, as a scientific basis for future drowsiness detection systems.