Screener Vigilance Detection Using Psychophysiological Sensors
Screening is a repetitive and often monotonous task, involving long periods of vigilance despite low occurrences of threat. Because of
the nature of this task and the high consequence if a threat is missed, a screener`s vigilance and avoidance of operation during fatigue are critical to their job effectiveness. This proposal describes an integrated solution to monitoring vigilance levels in airport security screeners. The proposed solution combines multiple psychophysiological sensors and measures with intelligent learning algorithms to classify levels of alertness. Physiologic data will be analyzed to evaluate the effectiveness of classification algorithms and to measure the saliency of the measures collected from the multiple sensors, with the ultimate goal of minimizing the sensors required for minimally invasive yet effective vigilance detection.
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