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Automated mental workload measurement is particularly important in safety-critical settings, such as in nuclear plants, aviation, air traffic control, shipping, and transportation, to name a few. As an example, recent statistics have suggested that 90% of the accidents in the transport industry are due to human factors. In this paper, we explore the potential of off-the-shelf wearable technologies...
This paper proposes a model to classify saccades from frontal (i.e., Fp1/Fp2) electroencephalography (EEG) data into up, down, left and right directions. The aim of the model is to provide brain-computer interfaces with improved cursor control without the need for a separate eye tracking device. To test the accuracy of the model "in-the-wild," an EEG dataset with (uncontrolled) natural saccades...
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