瞳孔直径测量算法的研究

Juni Nurma Sari, A. N. Hanung, Edi N Lukito, P. Santosa, R. Ferdiana
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引用次数: 9

摘要

瞳孔的变化可以用来检测人体状况。几项关于瞳孔变化的研究是为了研究人类的情绪,如烦恼、压力和看到令人愉快或不愉快的图像或看到令人兴奋的产品时的反应。一个人的情绪也可以通过瞳孔直径来检测,当使用样本或独立解决数学问题时。在医学领域,瞳孔直径也可以用来支持医生的决策,早期发现糖尿病。测量瞳孔直径的步骤包括眼睛检测、瞳孔检测和瞳孔直径测量。本文讨论了几种眼睛检测方法、瞳孔检测方法和利用图像处理算法测量瞳孔直径。本文还用一种简单的方法进行了瞳孔直径测量实验。本文为研究人员提供了一种可用于测量瞳孔直径以检测用户情绪和测量工作量的算法参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A study on algorithms of pupil diameter measurement
Pupillary changes can be used to detect human condition. Several studies on pupillary changes were carried out in order to study human emotions such as annoyance, stress, and reactions when viewing pleasant or unpleasant images, or seeing exciting products. A person's emotions can also be detected from pupil diameter when solving math problems using samples or independently. In medical field, pupil diameter can also be used to support doctor's decision for early detection of diabetes. The steps to measure pupil diameter include eye detection, pupil detection, and pupil diameter measurement. This paper discusses several eye detection methods, pupil detection methods and pupil diameter measurements using image processing algorithms. This paper also conducted an experiment by measuring pupil diameter using a simple method. The paper contribute a reference of algorithms that can be used by researchers for measuring pupil diameter to detect users' emotions and measure workload.
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