集装箱桥吊司机眼动疲劳度分析  

Analysis of container bridge crane driver eye fatigue

作　　者：顾志 苌道方[2] 

机构地区：[1]上海海事大学物流研究中心,上海201306 [2]上海海事大学物流工程学院,上海201306

出　　处：《辽宁工程技术大学学报（自然科学版）》2015年第11期1324-1328,共5页Journal of Liaoning Technical University (Natural Science)

基　　金：国家自然科学基金项目(71101090);上海市教育委员会科研创新项目(12ZZ148;13YZ080);交通运输研究部项目(2012-329-810-180)

摘　　要：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 eye fatigue law of the container bridge crane driver, this paper applies the technology of eye tracking and the intelligent optimization algorithms. This study mainly aims at exploring and researching on the correlation between eye movements and driving fatigue, and sets up driving fatigue model with eye movement parameters. According to experimental conditions, the real experiment scheme was designed and the effectiveness and reliability of the index were tested. And the variability indexes were chosen as the indexes for the fatigue measurement, such as the percentage of fLxation time, the number of fLxation point. The data of drivers＇ eye movement like blinks, gaze and saccadic and the linear and nonlinear relationships of driving fatigue were analyzed. The variation coefficient of fixation distribution was calculated for analyzing the relationship with the driving fatigue.

关 键 词：桥吊 眼动 疲劳度 视线追踪 眨眼 注视点 兴趣区域 集装箱 

分 类 号：TP30[自动化与计算机技术—计算机系统结构]