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Visualization of Transfer Characteristics of Eye Movements

机译:眼动传递特征的可视化

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摘要

This paper describes a method, inspired by voiceprints, to visualize dynamical features of the counter-rolling: rotational eye movements being made when our bodies are tilted. We identify the experimental time series with a discrete time-varying model by means of Kalman filters and visualize magnitudes of the internal model parameters. The obtained images visualize the time-varying impulse response (TVIR) of the counter-rolling system. An irregular eye movement with small jumps can be characterized as clear borders in the TVIR image. The method is expected to provide a useful tool for various diagnostic purposes. It may also be worth noting that many theoretical tools for complex dynamical systems have also been inspired by visual images called strange attractors.
机译:本文描述了一种受声纹启发的方法,它可以使逆滚动的动态特征可视化:当我们的身体倾斜时,眼球会旋转。我们通过卡尔曼滤波器识别具有离散时变模型的实验时间序列,并可视化内部模型参数的大小。所获得的图像可视化反向滚动系统的时变脉冲响应(TVIR)。视力不规则且跳动较小的现象可被描述为TVIR图像中的清晰边框。该方法有望为各种诊断目的提供有用的工具。值得注意的是,许多用于复杂动力系统的理论工具也受到称为奇怪吸引子的视觉图像的启发。

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