Construction Research Congress 2020
Monitoring Fatigue in Construction Workers Using Wearable Sensors
Publication: Construction Research Congress 2020: Safety, Workforce, and Education
ABSTRACT
Fatigue on construction projects impairs worker efficiency, jeopardizes job site safety, and reduces productivity. This paper presents an innovative fatigue estimation approach that is based on the monitoring of worker heart rate and sleep quality time on construction sites using wearable sensors. An experimental test was developed to simulate a true construction activity. A Borg’s scale of 1 to 10 was used to estimate the fatigue levels of the participants in the experimental test. An experimental pilot study was conducted to monitor the heart rate and sleep quality for three participants using a fitness tracker. Classifiers, such as decision tree, support vector machine (SVM), were then trained using the fitness tracker extracted data. The results obtained showed that the polynomial SVM outperformed all other tested algorithms and was selected for further physical fatigue analysis. The accuracy of the fatigue prediction model was, respectively, 69.23% and 76.92% depending on using heart rate or both heart rate and sleep quality results.
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Information & Authors
Information
Published In
Construction Research Congress 2020: Safety, Workforce, and Education
Pages: 86 - 94
Editors: Mounir El Asmar, Ph.D., Arizona State University, David Grau, Ph.D., Arizona State University, and Pingbo Tang, Ph.D., Arizona State University
ISBN (Online): 978-0-7844-8287-2
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Nov 9, 2020
Published in print: Nov 9, 2020
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