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开放式DPSM:一个开源工具包,用于对动态视觉输入的学生尺寸变化进行建模.

Yuqing Cai1, Christoph Strauch2, Stefan Van der Stigchel2

  • 1Experimental Psychology, Helmholtz Institute, Faculty of Social Sciences, Utrecht University, Heidelberglaan 1, 3584, CS, Utrecht, The Netherlands. y.cai2@uu.nl.

Behavior research methods
|December 11, 2023
PubMed
概括

本研究介绍了开放式动态学生尺寸建模 (Open-DPSM),一个开源工具包. 它准确地模拟了视觉输入中的瞳孔尺寸变化,克服了来自亮度和对比效应的挑战.

关键词:
建模学生尺寸的学生尺寸大小开放式的DPSM可以使用.瞳孔对光的反应瞳孔测量术 (pupillometry) 是指用眼睛测量一个孩子的眼睛.

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科学领域:

  • 认知神经科学 认知神经科学
  • 计算机视觉 计算机视觉

背景情况:

  • 瞳孔尺寸的变化是认知和感官过程的敏感指标.
  • 由于混低级视觉因素,如亮度和对比度,解释瞳孔测量数据具有挑战性.
  • 现有的模型往往缺乏灵活性来应对动态视觉刺激和现实世界的条件.

研究的目的:

  • 介绍开放动态学生尺寸建模 (Open-DPSM),一个开源的计算工具包.
  • 为了提高模拟瞳孔尺寸变化的准确性,以响应动态视觉输入.
  • 为提供一个工具,以减轻低水平的视觉特征在学生计的影响.

主要方法:

  • 开发了使用卷积方法模拟瞳孔反应的开放DPSM.
  • 纳入对瞳孔大小的亮度和对比效应的建模.
  • 在视野中对视觉事件贡献的综合权衡和凝视条件事件提取.
  • 作为Python函数和图形用户界面 (GUI) 实现.

主要成果:

  • 与现有基准相比,开放式DPSM证明了与现有基准相比,更好地预测学生大小变化.
  • 该工具集有效地模拟了瞳孔对亮度和对比度动态变化的反应.
  • 该模型解释了视觉事件和目光行为的空间分布.

结论:

  • 开放式DPSM提供了一个强大的解决方案,用于分析复杂的视觉环境中的学生计数据.
  • 开源性质和GUI为研究人员提供了更广泛的应用和定制.
  • 这种工具通过将认知效应与低级别视觉影响隔离,使学生计的解释更加可靠.