EAGER: Preliminary Studies for Real-Time Tracking of Cognitive Fatigue via Eye Movement Patterns

该项目旨在对端到端移动健康系统的设计进行初步探索，以通过利用眼球运动来检测个体之间的疲劳状态。疲劳状态的实时检测对于广泛的应用是重要的，包括减少医疗差错、减少机动车辆操作员差错以及改善公众的整体健康和保健。尽管有这些好处，但在自然环境中还没有广泛可用的方法来预测疲劳。在这个项目中，我们正在设计一个实时分析引擎，通过融合各种眼睛测量（扫视，注视，眨眼和瞳孔扩张）的原始时间序列数据，提供通用的计算方法来推断疲劳。这项工作包括一种新的疲劳检测器的自然设置，解决鲁棒性的真实世界的变化，个体差异和混杂因素，并开发时间序列模式提取方法来表征疲劳状态的时间进展。我们还在为学生群体对我们的设计进行试点评估。我们设想，一个成功的试点将导致更广泛的研究，涉及医疗居民，机动车操作员，轮班工人，和其他用户群体的疲劳是一个重大的安全或健康问题。该项目包括外展活动，包括为中学生举办为期两天的移动的感知主题研讨会。该研讨会是在马萨诸塞大学阿默斯特校区提供，并建立在与女孩公司现有的外展合作伙伴关系。位于马萨诸塞州霍利奥克。这是为了解决广泛认识到的妇女在STEM领域代表性不足的问题。

This project seeks to perform a preliminary exploration into the design of an end-to-end mHealth system for detecting the fatigue state among individuals by leveraging eye movements. Real-time detection of fatigue state is important for a wide range of applications including reducing medical errors, reducing motor vehicle operator errors, and improving overall health and wellness for the general public. Despite these benefits, there is no widely available method for predicting fatigue in the natural environment.In this project, we are designing a real-time analytics engine that provides general computational methods for inferring fatigue by fusing raw time-series data about various eye measures (saccades, fixations, blinks, and pupil dilation). This work includes a novel fatigue detector for natural settings that address robustness to real-world variability, individual differences, and confounders, and develops time-series pattern extraction methods to characterize temporal progression of fatigue state. We are also performing a pilot evaluation of our design for a student population. We envisage that a successful pilot will lead to more extensive studies involving medical residents, motor vehicle operators, shift workers, and other user groups where fatigue is a significant safety or health issue. This project includes outreach including a two day mobile sensing-themed workshop for middle school students. The workshop is offered at the UMass Amherst campus and builds on an existing outreach partnership with Girls Inc. of Holyoke, MA. that is aimed at addressing the widely recognized under-representation of women in STEM fields.