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OBJECTIVE This study investigates the feasibility of using a method based on electroencephalography (EEG) for deriving a driver's mental workload index. BACKGROUND The psychophysiological signals provide sensitive information for human functional states assessment in both laboratory and real-world settings and for building a new communication channel(More)
Event detection is the conversion of raw eye-tracking data into events--such as fixations, saccades, glissades, blinks, and so forth--that are relevant for researchers. In eye-tracking studies, event detection algorithms can have a serious impact on higher level analyses, although most studies do not accurately report their settings. We developed a(More)
Methods of statistical machine learning have recently proven to be very useful in contemporary brain-computer interface (BCI) research based on the discrimination of electroencephalogram (EEG) patterns. Because of this, many research groups develop new algorithms for both feature extraction and classification. However, until now, no large-scale comparison(More)
To cover three-dimensional information spaces stationary or spatial Augmented Reality (sAR) systems involve installed projection systems, Head-Up-and other displays. Therefore, information presentation techniques for sAR contain three basic problems assigned to the questions which form, which screen position and which physical location the information(More)