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Real-world Mapping of Gaze Fixations Using Instance Segmentation for Road Construction Safety Applications
[article]
2019
arXiv
pre-print
Research studies have shown that a large proportion of hazards remain unrecognized, which expose construction workers to unanticipated safety risks. Recent studies have also found that a strong correlation exists between viewing patterns of workers, captured using eye-tracking devices, and their hazard recognition performance. Therefore, it is important to analyze the viewing patterns of workers to gain a better understanding of their hazard recognition performance. This paper proposes a method
arXiv:1901.11078v2
fatcat:2q32v5pax5anzek57ejvive5t4