Facial Movements as Indicators of Fatigue in Air Traffic Control Tasks

V. Triyanti, H. A. Azis, H. Iridiastadi, Y. Yassierli
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引用次数: 2

Abstract

Air Traffic Control is a work that needs sustained vigilance for a certain period. This condition may result in mental fatigue that can lead to errors or incidents. Facial points could be potential indicators of fatigue that can be used in a real work environment. The objective of this research is to identify the parameters of facial points in order to detect fatigue considering correlation and accuracy value. An Experiment laboratory has been used to capture and recognize five facial points around the eyes of 12 participants when doing moderate and high traffic of simulated Air Traffic Control tasks. Six parameters that are related to movement and fixation of the facial points have been analyzed at five facial points. As a result, among 14 parameters-facial points that have a significant correlation to fatigue, only 4 of them at 2 facial points have good accuracy (>70%) in detecting the increase of fatigue level. Decreasing of movement velocity and increasing of fixation duration of points related to head and eyebrow have been found out when fatigue level increased. It can be concluded that some movement and fixation parameters of facial points are promising to be used in fatigue detection in Air Traffic Control tasks.
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面部运动作为空中交通管制任务疲劳指标
空中交通管制是一项需要在一定时期内保持警惕的工作。这种情况可能会导致精神疲劳,从而导致错误或事故。面部的穴位可能是疲劳的潜在指标,可以在真实的工作环境中使用。本研究的目的是考虑相关性和精度值,识别面部点的参数,以检测疲劳。在模拟空中交通管制任务中高流量时,利用实验实验室捕捉并识别12名参与者眼睛周围的5个面部点。在5个面部点上分析了与面部点的运动和固定有关的6个参数。结果表明,在与疲劳有显著相关性的14个参数面部点中,只有4个面部点在检测疲劳程度增加方面具有较好的准确性(>70%)。随着疲劳程度的增加,头眉相关点的运动速度降低,注视时间增加。结果表明,面部点的一些运动和固定参数有望用于空管任务中的疲劳检测。
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