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The Compensatory Tracking Task: A Pattern Recognition Based Approach for Classifying Vigilance
Methods of pattern recognition on data of the Compensatory Tracking Task (CTT) in order to classify between two different vigilance states show that best performance was obtained utilizing spectral domain features in combination with Support-Vector Machines. Expand
Data analysis of the compensatory tracking task using computational intelligence
This contribution aims at improving sleepiness estimation based on the compensatory tracking task (CTT) by the application and optimization of different classifiers and indicates that the extracted features are sensitive to sleepiness. Expand