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    Construction Activity Recognition and Ergonomic Risk Assessment Using a Wearable Insole Pressure System 

    Source: Journal of Construction Engineering and Management:;2020:;Volume ( 146 ):;issue: 007
    Author(s): Maxwell Fordjour Antwi-Afari; Heng Li; Waleed Umer; Yantao Yu; Xuejiao Xing
    Publisher: ASCE
    Abstract: Overexertion-related construction activities are identified as a leading cause of work-related musculoskeletal disorders (WMSDs) among construction workers. However, few studies have focused on the automated recognition ...
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    Sweat Analysis-Based Fatigue Monitoring during Construction Rebar Bending Tasks 

    Source: Journal of Construction Engineering and Management:;2023:;Volume ( 149 ):;issue: 009:;page 04023072-1
    Author(s): Jie Ma; Heng Li; Xinge Yu; Xin Fang; Bo Fang; Zeyu Zhao; Xingcan Huang; Shahnawaz Anwer; Xuejiao Xing
    Publisher: ASCE
    Abstract: This study proposes a novel approach to monitor the fatigue levels of construction rebar benders by measuring chemical biomarkers using sweat sensors. Fatigue resulting from dehydration and energy depletion can severely ...
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    Online Assessment of Spontaneous Mental Fatigue in Construction Workers Considering Data Quality: Improved Online Sequential Extreme Learning Machine 

    Source: Journal of Construction Engineering and Management:;2024:;Volume ( 150 ):;issue: 011:;page 04024148-1
    Author(s): Xin Fang; Heng Li; Jie Ma; Xuejiao Xing; Qiubing Ren; Waleed Umer; Lei Wang
    Publisher: American Society of Civil Engineers
    Abstract: Biological data-based methods for monitoring workers’ mental fatigue have become widely adopted in recent years. However, few have concentrated on the online monitoring and assessment of mental fatigue considering the ...
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    Ontology-Based Semantic Modeling of Knowledge in Construction: Classification and Identification of Hazards Implied in Images 

    Source: Journal of Construction Engineering and Management:;2020:;Volume ( 146 ):;issue: 004
    Author(s): Botao Zhong; Heng Li; Hanbin Luo; Jingyang Zhou; Weili Fang; Xuejiao Xing
    Publisher: ASCE
    Abstract: Identifying potential hazards of construction project is a data-intensive process that involves various types of information such as site data, specifications, and engineering documents. How to effectively convert the ...
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