Blink rate variability: a marker of sustained attention during a visual task

Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers Pub Date : 2020-09-10 DOI:10.1145/3410530.3414431

R. Gavas, M. B. Sheshachala, D. Chatterjee, R. K. Ramakrishnan, V. Viraraghavan, Achanna Anil Kumar, M. Chandra

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引用次数: 5

Abstract

Eye blinks are vital components of human gaze which are used for assessing human behaviour. We have analyzed the variability of the inter-blink durations, termed as blink rate variability (BRV), for analysing sustained attention for visual tasks. Uniformly sampled BRV series is reconstructed from the gaze data recorded using an eye tracker. A number of features are extracted from this series. We proposed a new feature based on pareto principle. Results show that skewness, kurtosis, mean frequency and pareto frequency are good indicators of sustained attention. We observed that with increase in attention level, the power of BRV series tends to have a normal distribution whereas the mean and pareto frequency decreases. Results were generated on a small dataset as a proof of concept of our hypothesis that BRV is a potential bio-marker of sustained attention in a visual task.

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眨眼频率可变性:在视觉任务中持续注意力的标志

眨眼是人类凝视的重要组成部分，用来评估人类的行为。我们分析了眨眼间持续时间的可变性，称为眨眼速率可变性(BRV)，用于分析视觉任务的持续注意力。根据眼动仪记录的注视数据重构均匀采样的BRV序列。从这个系列中提取了许多特征。我们提出了一种基于帕累托原理的新特征。结果表明，偏度、峰度、平均频率和帕累托频率是持续关注的良好指标。我们观察到，随着注意力水平的增加，BRV级数的幂趋于正态分布，而均值和帕累托频率则降低。结果是在一个小数据集上生成的，作为我们假设BRV是视觉任务中持续注意力的潜在生物标志物的概念证明。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers

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