任务诱发瞳孔反应和眼球运动的频率分析

M. Nakayama, Y. Shimizu
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引用次数: 50

摘要

本文描述了眨眼对任务诱发瞳孔分布和眼动的频率分析和功率谱差异的影响。该实验由眼跟随任务和口头计算任务组成,任务难度为控制、1×1和1×2数字口头计算。利用无眨瞳孔变化和人工眨眼模式,训练了基于多层感知器的瞳孔补偿模型来检测眨眼并估计瞳孔大小。在口头计算任务中,瞳孔分布的功率谱密度(PSD)测量结果显示出显著差异,在0.1 - 0.5Hz和1.6 - 3.5Hz范围内,PSD随着任务难度的增加而增加,平均瞳孔大小也是如此。眨眼时的眼球运动是手动纠正的,以消除不规则的眼球运动,如扫视。交叉光谱密度(CSD)由水平和垂直眼动坐标获得。在0.6 ~ 1.5 Hz范围内,不同实验条件下的CSDs有显著差异。这些差异表明,任务难度会影响水平和垂直眼动坐标在频域上的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Frequency analysis of task evoked pupillary response and eye-movement
This paper describes the influence of eye blinks on frequency analysis and power spectrum difference for task-evoked pupillography and eye-movement during an experiment which consisted of ocular following tasks and oral calculation tasks with three levels of task difficulty: control, 1×1,and 1×2 digit oral calculation.The compensation model for temporal pupil size based on MLP (multi layer perceptron) was trained to detect a blink and to estimate pupil size by using blinkless pupillary change and artificial blink patterns. The PSD (power spectrum density) measurements from the estimated pupillography during oral calculation tasks show significant differences, and the PSD increased with task difficulty in the area of 0.1 - 0.5Hz and 1.6 - 3.5Hz, as did the average pupil size.The eye-movement during blinks was corrected manually, to remove irregular eye-movements such as saccades. The CSD (cross spectrum density) was achieved from horizontal and vertical eye-movement coordinates. Significant differences in CSDs among experimental conditions were examined in the area of 0.6 - 1.5 Hz. These differences suggest that the task difficulty affects the relationship between horizontal and vertical eye-movement coordinates in the frequency domain.
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