python

Classification of Reaction Time in Simulated Multiple Robot Tele-Exploration

In this study, the physiological features of the operator are used to classify the reaction time as fast, normal and slow corresponding different levels of task difficulty. The physiological features are extracted from the eye (though eye tracking) and brain (through Electroencephalogram) from the operator performing teleoperation using two drones. Among the calculated features glance ratio and mental workload resulted in maximum classification accuracy when task type information is included.