FREE ENBIS Webinar by Allison Jones-Farmer: "Monitoring Worker Fatigue Using Wearable Devices: An Example of Statistical Engineering in Practice"

14 May 2019; 15:00 – 15:45

Allison Jones-Farmer will discuss how many of the principles of Statistical Engineering were used in a case study.

In his recent webinar, Geoff Vining introduced the phases and core processes that form the foundation of Statistical Engineering. Additionally, he underscored the importance of deep subject matter expertise coupled with appropriate methodologies to success in solving real, complex problems. 

In this talk, we discuss how we used many of the principles of Statistical Engineering to understand how features of a worker’s walking patterns (stride length, height, and duration) change over time, how these features relate to a participant’s perceived fatigue, and whether there are consistent patterns in performance across individuals over time. Specifically, we consider the problem of monitoring worker-fatigue using sensor data gathered from participants performing an occupational task that involved a large amount of walking.  Because worker fatigue can lead to reduced quality, lower productivity and an increased risk of personal injury, it is important to monitor and predict fatigue so that mitigating steps, such as rest breaks, can be taken.  Our interdisciplinary team consisting of experts in occupational health & safety, engineering, biostatistics, and statistical process monitoring worked on this problem.  With deep subject matter expertise, deep methodological expertise, and a solid problem-solving methodology, our team produced findings that were new to the ergonomics field.