基于ROC曲线的镜片舒适度眼动指标研究
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上海理工大学医疗器械与食品学院,上海 200093

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国家自然科学基金(61605114)资助项目。


Research on Eye Movement Index of Lens Comfort Based on ROC Curve
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School of Medical Instrument & Food Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China

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    摘要:

    基于眼动仪检测到的受试者眼动数据,提出一项新的眼动指标——眼睑间距变动百分比,并对比传统的眼跳次数、瞳孔直径等眼动指标,经过显著性和相关性分析后,最后利用受试者特征曲线(Receiver operating characteristic,ROC)曲线评价每个眼动指标对镜片舒适度的判别性能。实验结果表明,本文提出的眼睑间距变动百分比反映镜片舒适度的性能最好,瞳孔直径次之,眼跳次数和平均注视时长相仿。本实验结果证明可以通过检测患者的眼睑间距变动百分比,来准确快速地判断镜片的舒适程度。这项研究成果能帮助相关从业者从更加客观的角度评价镜片的舒适程度,也为中国当前日益严峻的近视防控形势提供了一定的技术理论帮助。

    Abstract:

    Based on the eye movement data of subjects detected by eye tracker, a new eye movement index, the percentage change of eyelid spacing, is put forward. Then it is compared with such traditional eye movement indices as saccade count and pupil diameter. After significance and correlation analysis, the receiver operating characteristic (ROC) curve is used to evaluate the discriminant performance of every eye movement on the lens comfort. Experimental results show that the proposed percentage change of eyelid spacing is the best indicator to evaluate the lens comfort, followed by the pupil diameter, and the saccade index and the average fixation duration are the similar. It validates that the lens comfort can be evaluated accurately and quickly by detecting the percentage change of eyelid spacing of subjects. This research can help relevant practitioners to evaluate the lens comfort from an objective perspective, and also provides some technical and theoretical help for increasingly severe myopia prevention and control situation of China.

    表 3 眼动指标的AUCTable 3 AUC for eye movement index
    表 2 眼动指标与舒适度的相关性Table 2 Correlation between eye movement index and comfort
    表 1 眼动指标相关性Table 1 Correlation of eye movement index
    图1 aSeeGlasses眼镜式眼动仪Fig.1 aSeeGlasses eye tracker
    图2 眨眼过程Fig.2 Blinking process
    图3 眼睑间距箱线图Fig.3 Boxplot of eyelid spacing
    图4 眼动指标的显著性Fig.4 Significance of eye movement index
    图5 眼动指标的ROC曲线Fig.5 ROC curvers for eye movement index
    图1 Overall framework and detail diagram of SiamADNFig.1
    图2 Structure of channel attention moduleFig.2
    图3 General structure of Corner detectionFig.3
    图4 Overall flowchart of the proposed methodFig.4
    图5 Evaluation results of trackers on OTB-2015 DatasetFig.5
    图6 Comparisons among recent update trackers on UAV123Fig.6
    图7 Comparisons on the LaSOT with state-of-the-art tracking methods by using success and precision plotsFig.7
    图8 Example tracking results of our approach with other siamese network based trackers on the drone datasetsFig.8
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胡义波,武杰,樊碧月,项华中.基于ROC曲线的镜片舒适度眼动指标研究[J].数据采集与处理,2021,36(4):675-683

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  • 收稿日期:2020-08-27
  • 最后修改日期:2020-11-23
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  • 在线发布日期: 2021-07-25