Monitoring worker fatigue using wearable devices: A case study to detect changes in gait parameters
Monitoring worker fatigue using wearable devices: A case study to detect changes in gait parameters
复制标题
DOI：
10.1080/00224065.2019.1640097
复制
发表时间：
2019-08-30
影响因子：
2.5
通讯作者：
Megahed, Fadel M.
中科院分区：
文献类型：
--
作者：
Baghdadi, Amir;Cavuoto, Lora A.;Megahed, Fadel M.
本案例研究的目标是通过可穿戴传感器的特征来回答与疲劳相关的四个研究问题，以测量步骤中的模式：（1）重要的步态参数如何随时间变化？(2)这些基于传感器的变化如何与参与者的主观疲劳评级随着时间的推移？(3)随着时间的推移，不同个体的表现是否存在一致的模式？以及（4）这些模式是否基于特定的人口特征而系统地变化？为了回答这些问题，我们将多变量变点方法与分层时间序列聚类和探索性数据分析相结合。这些结果提高了我们对疲劳发展的理解。
The goal of this case study is to answer four research questions related to fatigue through features derived from wearable sensors to measure patterns in steps: (1) How do important gait parameters change over time? (2) How do these sensor-based changes relate to the participant's subjective fatigue ratings over time? (3) Are there consistent patterns in performance across different individuals over time? and (4) Do these patterns vary systematically based on specific demographic characteristics? To answer these questions, we have combined multivariate changepoint methods with hierarchical time-series clustering and exploratory data analysis. The results improve our understanding of fatigue development.