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- W4289676562 abstract "Unrecognized hazards increase the likelihood of workplace fatalities and injuries substantially. However, recent research has demonstrated that a large proportion of hazards remain unrecognized in dynamic construction environments. Recent studies have suggested a strong correlation between viewing patterns of workers and their hazard recognition performance. Hence, it is important to study and analyze the viewing patterns of workers to gain a better understanding of their hazard recognition performance. The objective of this exploratory research is to explore hazard recognition as a visual search process to identifying various visual search factors that affect the process of hazard recognition. Further, the study also proposes a framework to develop a vision based tool capable of recording and analyzing viewing patterns of construction workers and generate feedback for personalized training and proactive safety management." @default.
- W4289676562 created "2022-08-04" @default.
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- W4289676562 date "2018-08-20" @default.
- W4289676562 modified "2023-10-16" @default.
- W4289676562 title "Automating Analysis of Construction Workers Viewing Patterns for Personalized Safety Training and Management" @default.
- W4289676562 doi "https://doi.org/10.48550/arxiv.1809.00949" @default.
- W4289676562 hasPublicationYear "2018" @default.
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