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    Machine Learning-Based Risk Analysis for Construction Worker Safety from Ubiquitous Site Photos and Videos 

    Source: Journal of Computing in Civil Engineering:;2021:;Volume ( 035 ):;issue: 006:;page 04021020-1
    Author(s): Shuai Tang; Mani Golparvar-Fard
    Publisher: ASCE
    Abstract: This paper proposes a new method for single-worker severity level prediction from already collected site images and video clips. Onsite safety observers often assess workers’ severity levels during construction activities. ...
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    Video-Based Motion Trajectory Forecasting Method for Proactive Construction Safety Monitoring Systems 

    Source: Journal of Computing in Civil Engineering:;2020:;Volume ( 034 ):;issue: 006
    Author(s): Shuai Tang; Mani Golparvar-Fard; Milind Naphade; Murali M. Gopalakrishna
    Publisher: ASCE
    Abstract: Falls, struck-bys, and caught-in/betweens are among the most common types of fatal accidents on construction sites. Despite their significance, the majority of today’s accident prevention programs react passively to ...
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    Vision-Based Construction Worker Activity Analysis Informed by Body Posture 

    Source: Journal of Computing in Civil Engineering:;2020:;Volume ( 034 ):;issue: 004
    Author(s): Dominic Roberts; Wilfredo Torres Calderon; Shuai Tang; Mani Golparvar-Fard
    Publisher: ASCE
    Abstract: Activity analysis of construction resources is generally performed by manually observing construction operations either in person or through recorded videos. It is thus prone to observer fatigue and bias and is of limited ...
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