Analysis of operator eye movement characteristics to determine the degree of fatigue

Alexandr O. Bulygin
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Abstract

The article presents a method for searching characteristics of eye movements that correlate with fatigue. There are many characteristics of eye movements to determine fatigue. All these characteristics are calculated from such basic concepts of gaze movement as fixation and saccade. Characteristics can also be divided by the types of physical events on which they are based. It is possible to distinguish such characteristics as speed, time, quantity, size, percentage, frequency and ratio characteristics. To search for correlations between eye movement characteristics and fatigue, a dataset of eye movements and the results of the VAS-F fatigue questionnaire were analyzed in 6 subjects. The data set consists of operator parameters such as eye movements, scene camera image and gaze direction. To determine the level of fatigue, the participant completed the VAS-F questionnaire. This questionnaire consists of 18 questions about the degree of fatigue or enrgetic of a person. Each record from the data set corresponds to a questionnaire result. 60 characteristics of eye movements and the corresponding VAS-F test values were analyzed and the correlation between them was calculated. The characteristics of eye movements were then sorted in descending order of the obtained correlation values. For further analysis, the first 20 characteristics with the highest correlation were selected from each participant. A search was then made for characteristics that were found in two-thirds or more of the participants among the first 20 characteristics. As a result, 10 characteristics of eye movements were found that correlated with VAS-F test scores for each participant.
分析操作员眼球运动特征以确定疲劳程度
文章介绍了一种搜索与疲劳相关的眼球运动特征的方法。有许多眼球运动特征可用于判断疲劳。所有这些特征都是根据凝视运动的基本概念(如固定和囊状移动)计算出来的。特征还可以根据其所依据的物理事件类型进行划分。可以区分速度、时间、数量、大小、百分比、频率和比率等特征。为了寻找眼球运动特征与疲劳之间的相关性,我们对 6 名受试者的眼球运动数据集和 VAS-F 疲劳问卷结果进行了分析。数据集包括眼球运动、场景相机图像和注视方向等操作员参数。为了确定疲劳程度,受试者填写了 VAS-F 问卷。该问卷由 18 个关于人的疲劳或精力充沛程度的问题组成。数据集中的每条记录都对应一个问卷结果。我们分析了 60 个眼球运动特征和相应的 VAS-F 测试值,并计算了它们之间的相关性。然后,按照相关值从高到低的顺序对眼球运动特征进行排序。为了进一步分析,从每位参与者中选出了相关性最高的前 20 个特征。然后,在前 20 个特征中寻找在三分之二或更多参与者中发现的特征。结果,我们为每位参与者找到了 10 个与 VAS-F 测试得分相关的眼球运动特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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