A survey of human gait-based artificial intelligence applications
EJ Harris, IH Khoo, E Demircan - Frontiers in Robotics and AI, 2022 - frontiersin.org
We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …
focus on human gait studies and apply machine learning techniques. We identified six key …
Human reliability modeling in occupational environments toward a safe and productive operator 4.0
Many occupational environments require labor intensive activities, which could result in
fatigue and injuries and cause decreased work performance. Recently, the breakthroughs of …
fatigue and injuries and cause decreased work performance. Recently, the breakthroughs of …
A data analytic framework for physical fatigue management using wearable sensors
The use of expert systems in optimizing and transforming human performance has been
limited in practice due to the lack of understanding of how an individual's performance …
limited in practice due to the lack of understanding of how an individual's performance …
Effect of cognitive fatigue, operator sex, and robot assistance on task performance metrics, workload, and situation awareness in human-robot collaboration
Advancements in robot technology are allowing for increasing integration of humans and
robots in shared space manufacturing processes. While individual task performance of the …
robots in shared space manufacturing processes. While individual task performance of the …
Automated and continuous fatigue monitoring in construction workers using forearm EMG and IMU wearable sensors and recurrent neural network
About 40% of the US construction workforce experiences high-level fatigue, which leads to
poor judgment, increased risk of injuries, a decrease in productivity, and a lower quality of …
poor judgment, increased risk of injuries, a decrease in productivity, and a lower quality of …
A machine learning approach to detect changes in gait parameters following a fatiguing occupational task
The purpose of this study is to provide a method for classifying non-fatigued vs. fatigued
states following manual material handling. A method of template matching pattern …
states following manual material handling. A method of template matching pattern …
Application of wearable biosensors to construction sites. II: Assessing workers' physical demand
The construction industry is one of the world's most labor-intensive industries. In it, workers
are challenged almost every day by highly demanding physical tasks. Although current …
are challenged almost every day by highly demanding physical tasks. Although current …
Physiological and perceptual consequences of trust in collaborative robots: An empirical investigation of human and robot factors
Measuring trust is an important element of effective human-robot collaborations (HRCs). It
has largely relied on subjective responses and thus cannot be readily used for adapting …
has largely relied on subjective responses and thus cannot be readily used for adapting …
A forecasting framework for predicting perceived fatigue: Using time series methods to forecast ratings of perceived exertion with features from wearable sensors
Advancements in sensing and network technologies have increased the amount of data
being collected to monitor the worker conditions. In this study, we consider the use of time …
being collected to monitor the worker conditions. In this study, we consider the use of time …
Non-invasive physical demand assessment using wearable respiration sensor and random forest classifier
Physically demanding tasks are one of the leading causes of fatigue among workers in labor-
intensive industries such as construction. Despite the recent development in physical …
intensive industries such as construction. Despite the recent development in physical …