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Blinks and saccades as indicators of fatigue in sleepiness warnings: looking tired?

机译:眨眼和扫视是睡意警告中疲劳的指示:看起来累了吗?

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摘要

The present study examines changes in a variety of oculomotoric variables as a function of increasing sleepiness in 129 participants, who have been passed through a broad range of subjective alertness. Up to now, spontaneous eye blinks are the most promising biosignal for in-car sleepiness warnings. Reviewing the current literature on eye movements and fatigue, experimental data are provided including additional indicative oculomotoric parameters; inter-individual differences in the experiments were also assessed. Here, self-rated alertness decreased over six steps on average and proved itself a reliable measurement. Regarding oculomotoric parameters, blink duration, delay of lid reopening, blink interval and standardised lid closure speed were identified as the best indicators of subjective as well as objective sleepiness. Saccadic parameters and fixation durations also showed specific changes with increasing sleepiness. Substantial inter-individual differences in all of these variables were illustrated. Oculomotoric parameters were linked to three different components of sleepiness while driving: a) deactivation; b) decreasing attention, resulting in disinhibition of spontaneous blinks and reflexive saccades; c) increasing attempts of self-activation. Finally, implications for the development of drowsiness detection devices were discussed.
机译:本研究调查了129名参与者的各种眼动变量的变化,这些变化是增加嗜睡的函数,这些参与者已经通过了广泛的主观警觉性。到目前为止,自发眨眼是车内嗜睡警告的最有前途的生物信号。回顾有关眼动和疲劳的最新文献,提供了实验数据,包括其他指示性眼动参数;还评估了实验之间的个体差异。在这里,自我评价的警觉性平均降低了六步,证明了自己是可靠的测量方法。关于动眼参数,眨眼持续时间,眼睑重开延迟,眨眼间隔和标准化眼睑闭合速度被确定为主观和客观嗜睡的最佳指标。视听参数和注视持续时间也显示出随着嗜睡增加的特定变化。说明了所有这些变量之间的重大个体差异。动眼参数与驾驶时嗜睡的三个不同部分相关:a)失活; b)减少注意力,导致自发眨眼和反身扫视的抑制; c)越来越多的自我激活尝试。最后,讨论了睡意检测设备的开发意义。

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