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评估眼动指标作为疲劳的检测指标。

Evaluation of eye metrics as a detector of fatigue.

机构信息

Air Force Research Laboratory, 2215 First Street, Building 33, Wright-Patterson AFB, OH 45433, USA.

出版信息

Hum Factors. 2011 Aug;53(4):403-14. doi: 10.1177/0018720811411297.

DOI:10.1177/0018720811411297
PMID:21901937
Abstract

OBJECTIVES

This study evaluated oculometrics as a detector of fatigue in Air Force-relevant tasks after sleep deprivation. Using the metrics of total eye closure duration (PERCLOS) and approximate entropy (ApEn), the relation between these eye metrics and fatigue-induced performance decrements was investigated.

BACKGROUND

One damaging effect to the successful outcome of operational military missions is that attributed to sleep deprivation-induced fatigue. Consequently, there is interest in the development of reliable monitoring devices that can assess when an operator is overly fatigued.

METHOD

Ten civilian participants volunteered to serve in this study. Each was trained on three performance tasks: target identification, unmanned aerial vehicle landing, and the psychomotor vigilance task (PVT). Experimental testing began after 14 hr awake and continued every 2 hr until 28 hr of sleep deprivation was reached.

RESULTS

Performance on the PVT and target identification tasks declined significantly as the level of sleep deprivation increased.These performance declines were paralleled more closely by changes in the ApEn compared to the PERCLOS measure.

CONCLUSION

The results provide evidence that the ApEn eye metric can be used to detect fatigue in relevant military aviation tasks.

APPLICATION

Military and commercial operators could benefit from an alertness monitoring device.

摘要

目的

本研究评估了眼动测量在睡眠剥夺后对空军相关任务中疲劳的检测作用。使用总闭眼时间(PERCLOS)和近似熵(ApEn)的指标,研究了这些眼动指标与疲劳引起的性能下降之间的关系。

背景

睡眠剥夺引起的疲劳对军事行动的成功结果有一个破坏性的影响。因此,人们对开发可靠的监测设备很感兴趣,这种设备可以评估操作员何时过度疲劳。

方法

10 名志愿参加这项研究的平民。每个人都接受了三项性能任务的训练:目标识别、无人机着陆和精神运动警觉任务(PVT)。实验测试在清醒 14 小时后开始,并每 2 小时进行一次,直到达到 28 小时的睡眠剥夺。

结果

随着睡眠剥夺程度的增加,PVT 和目标识别任务的表现明显下降。与 PERCLOS 测量相比,ApEn 测量的变化更能准确地反映这些性能的下降。

结论

结果提供了证据表明,ApEn 眼动指标可用于检测相关军事航空任务中的疲劳。

应用

军事和商业操作人员可以从警觉性监测设备中受益。

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