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
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.
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.
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