Brain-Computer Interface in Construction Safety Management: A Quantitative Framework

Jiayu Chen*, Xinyi Song

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

More than 70% of all accidents in constructions are related to human activities. Many researches reveal that higher hazards are associated with the complexity of activities that workers are performing. More recent studies in the area of neural science and psychology suggests that many accidents are caused by the lack of attention or attention distractions. Laborers are vulnerable while they are focusing on complicated construction tasks that requires too much attention. Therefore, assessing the attention level of workers could help to determine their vulnerability. However, there is no available measurement metrics that can help project managers to quantitatively monitor construction workers' mental condition. By comparing multiple quantitatively assessment metrics, this research aims at proposing an integrated framework to enable the assessment of the concentration level and the vulnerability of construction workers through wearable electroencephalography (EEG) safety helmets.

Original languageEnglish
Title of host publicationCONSTRUCTION RESEARCH CONGRESS 2016: OLD AND NEW CONSTRUCTION TECHNOLOGIES CONVERGE IN HISTORIC SAN JUAN
EditorsJL Perdomo-Rivera, A Gonzalez-Quevedo, C Lopez DelPuerto, F Maldonado-Fortunet, OI Molina-Bas
PublisherAmerican Society of Civil Engineers
Pages2719-2729
Number of pages11
Publication statusPublished - 2016
EventConstruction Research Congress - San Juan, Puerto Rico
Duration: 31 May 20162 Jun 2016

Conference

ConferenceConstruction Research Congress
PlacePuerto Rico
CitySan Juan
Period31/05/162/06/16

Research Keywords

  • MENTAL WORKLOAD
  • RISK PERCEPTION
  • TASK
  • VIGILANCE
  • SYSTEMS
  • WORKERS
  • MODEL

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