Pre-service fatigue screening for construction labor through hybrid kinematic-EEG signal processing and workload assessments

Jiayu Chen, Xiaowei Luo, Heng Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)

Abstract

Pre-service fatigue due to insufficient rest and alcohol intake post high safety risks on construction workers during task execution. Conventional on-site pre-service screening mainly relies on the project manager's experience and workers' appearance, due to the lack of a reliable and objective assessment tool. Thus, to fill the gap, this study proposes to design mentally-intensive simulative tasks to assess the fatigue level of construction workers. A hybrid kinematic-electroencephalograph (EEG) signal processing system was developed to quantitatively assess the workers' mental status so that unqualified workers can be identified before tasks. Protections and training then can be provided accordingly to mitigate the potential risks associated with pre-service fatigue.

Original languageEnglish
Title of host publicationConstruction Research Congress 2020
Subtitle of host publicationSafety, Workforce, and Education - Selected Papers from the Construction Research Congress 2020
EditorsMounir El Asmar, David Grau, Pingbo Tang
PublisherAmerican Society of Civil Engineers (ASCE)
Pages114-119
Number of pages6
ISBN (Electronic)9780784482872
DOIs
Publication statusPublished - 2020
EventConstruction Research Congress 2020: Safety, Workforce, and Education - Tempe, United States
Duration: 8 Mar 202010 Mar 2020

Publication series

NameConstruction Research Congress 2020: Safety, Workforce, and Education - Selected Papers from the Construction Research Congress 2020

Conference

ConferenceConstruction Research Congress 2020: Safety, Workforce, and Education
Country/TerritoryUnited States
CityTempe
Period8/03/2010/03/20

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction

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