User Eye Fatigue Detection via Eye Movement Behavior

Evgeniy Abdulin, Oleg V. Komogortsev
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引用次数: 23

Abstract

In this study we propose and evaluate a novel approach that allows detection of physical eye fatigue. The proposed approach is based on the analysis of the recorded eye movements via what is called behavioral scores. These easy-to-compute scores can be obtained immediately after a calibration procedure, via processing of such basic eye movements as fixations and saccades extracted from the raw eye positional data recorded by an eye tracker. The results, based on the data from 36 volunteers indicate that one of the behavioral scores, Fixational Qualitative Score, is more sensitive to the onset of eye fatigue than already established methods based on saccadic characteristics only.
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通过眼动行为检测用户眼疲劳
在这项研究中,我们提出并评估了一种新的方法,允许检测物理眼疲劳。提出的方法是基于通过所谓的行为评分对记录的眼球运动进行分析。这些易于计算的分数可以在校准程序后立即获得,通过处理从眼动仪记录的原始眼睛位置数据中提取的注视和扫视等基本眼球运动。基于36名志愿者的数据得出的结果表明,其中一种行为评分,即注视定性评分(Fixational Qualitative Score),对眼睛疲劳的发生比仅基于跳视特征的现有方法更敏感。
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