利用分形分析眼球路径

Q3 Neuroscience Advances in neurobiology Pub Date : 2024-01-01 DOI:10.1007/978-3-031-47606-8_42
Robert Ahadizad Newport, Sidong Liu, Antonio Di Ieva
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引用次数: 0

摘要

视觉模式反映了我们如何感知信息的解剖学和认知背景,受到刺激物特征和我们自身视觉感知的影响。这些模式在空间上非常复杂,在不同尺度的分形几何中显示出自相似性,因此使用欧几里得几何中使用的传统拓扑维度来测量这些模式具有挑战性。然而,使用分形测量眼球凝视模式的方法在量化几何复杂性、匹配性以及将其应用到机器学习方法中方面取得了成功。这种成功归功于分形在使用希尔伯特曲线降维、使用樋口分形维度(Higuchi fractal dimension,HFD)测量时间复杂性以及使用闵科夫斯基-布里甘维度确定几何复杂性时所具备的固有能力。了解分形在测量和分析眼球凝视模式时的多种应用,可以通过识别与神经病理学相关的标记,扩展当前不断增长的知识体系。此外,在未来的工作中,分形还能利用其获取多尺度信息(包括互补功能、结构和动态)的能力,促进眼球跟踪诊断中成像模式的定义。
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Analyzing Eye Paths Using Fractals.

Visual patterns reflect the anatomical and cognitive background underlying process governing how we perceive information, influenced by stimulus characteristics and our own visual perception. These patterns are both spatially complex and display self-similarity seen in fractal geometry at different scales, making them challenging to measure using the traditional topological dimensions used in Euclidean geometry.However, methods for measuring eye gaze patterns using fractals have shown success in quantifying geometric complexity, matchability, and implementation into machine learning methods. This success is due to the inherent capabilities that fractals possess when reducing dimensionality using Hilbert curves, measuring temporal complexity using the Higuchi fractal dimension (HFD), and determining geometric complexity using the Minkowski-Bouligand dimension.Understanding the many applications of fractals when measuring and analyzing eye gaze patterns can extend the current growing body of knowledge by identifying markers tied to neurological pathology. Additionally, in future work, fractals can facilitate defining imaging modalities in eye tracking diagnostics by exploiting their capability to acquire multiscale information, including complementary functions, structures, and dynamics.

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来源期刊
Advances in neurobiology
Advances in neurobiology Neuroscience-Neurology
CiteScore
2.80
自引率
0.00%
发文量
0
期刊最新文献
A Self-Similarity Logic May Shape the Organization of the Nervous System. Advances in Understanding Fractals in Affective and Anxiety Disorders. Analyzing Eye Paths Using Fractals. Box-Counting Fractal Analysis: A Primer for the Clinician. Clinical Sensitivity of Fractal Neurodynamics.
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