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为揭示港口集装箱桥吊司机眼睛疲劳规律,采用视线跟踪技术和智能优化算法相结合,分析桥吊司机操作过程中的眼动参数与驾驶疲劳之间相关性,运用眼动参数建立驾驶疲劳推断评判模型.设计了驾驶员实测操作实验方案,确定注视时间百分比、注视点数目为眼动测量指标,研究眼动测量指标与驾驶疲劳的相关性.分析驾驶员眨眼、注视、眼跳三种眼动形式实测数据与驾驶疲劳的线性与非线性变化关系,求得注视分布变异系数,得到注视分布变异系数与驾驶疲劳之间的关系.
In order to reveal the regularity of eye fatigue of container bridge crane, a combination of line of sight tracking technology and intelligent optimization algorithm was used to analyze the correlation between eye movement parameters and driving fatigue during the operation of bridge crane, and to establish driving fatigue inference judgment Model.A pilot experiment program was designed to determine the percentage of fixation time, the number of fixation points as the eye movement measurement index, the correlation between eye movement measurement and driving fatigue.Analysis of the driver eye blink, gaze, eye movements three kinds of eye movement The relationship between the measured data and the driving fatigue was linear and non-linear, the coefficient of variation of the fixation distribution was obtained, and the relationship between the variation coefficient of the gaze distribution and driving fatigue was obtained.