Monitoring worker fatigue using wearable devices: A case study to detect changes in gait parameters-Reference-Cited by-同舟云学术

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Monitoring worker fatigue using wearable devices: A case study to detect changes in gait parameters

Published:2019-08-30 Issue:1 Volume:53 Page:47-71
ISSN:0022-4065
Container-title:Journal of Quality Technology
language:en
Short-container-title:Journal of Quality Technology

Author:

Baghdadi Amir¹,Cavuoto Lora A.²,Jones-Farmer Allison³,Rigdon Steven E.⁴,Esfahani Ehsan T.¹,Megahed Fadel M.³^ORCID

Affiliation:

1. Department of Mechanical & Aerospace Engineering, University at Buffalo, Buffalo, New York;

2. Department of Industrial & Systems Engineering, University at Buffalo, Buffalo, New York;

3. Farmer School of Business, Miami University, Oxford, Ohio;

4. College for Public Health and Social Justice, Saint Louis University, Saint Louis, Missouri

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management,Safety, Risk, Reliability and Quality

Link

https://www.tandfonline.com/doi/pdf/10.1080/00224065.2019.1640097

Reference84 articles.

1. Time-series clustering – A decade review

2. Hip and Trunk Kinematics Estimation in Gait Through Kalman Filter Using IMU Data at the Ankle

3. A machine learning approach to detect changes in gait parameters following a fatiguing occupational task

4. The effects of fatigue on performance in simulated nursing work

5. Gravity anomalies from airborne measurements — experiments using a low cost IMU device

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