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- W2963702104 abstract "Automating Analysis of Construction Workers' Viewing Patterns for Personalized Safety Training and Management Idris Jeelani, Kevin Han and Alex Albert Pages 939-947 (2018 Proceedings of the 35th ISARC, Berlin, Germany, ISBN 978-3-00-060855-1, ISSN 2413-5844) 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. Keywords: Hazard Recognition, Construction Safety, Computer vision, Eye tracking DOI: https://doi.org/10.22260/ISARC2018/0131 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to Mendeley" @default.
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- W2963702104 date "2018-07-22" @default.
- W2963702104 modified "2023-09-23" @default.
- W2963702104 title "Automating Analysis of Construction Workers' Viewing Patterns for Personalized Safety Training and Management" @default.
- W2963702104 doi "https://doi.org/10.22260/isarc2018/0131" @default.
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