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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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    Quantifying the Effect of Mental Stress on Physical Stress for Construction Tasks 

    Source: Journal of Construction Engineering and Management:;2021:;Volume ( 148 ):;issue: 003:;page 04021204
    Author(s): Waleed Umer; Yantao Yu; Maxwell Fordjour Antwi Afari
    Publisher: ASCE
    Abstract: Because of labor-intensive and physically demanding tasks, construction workers are known to be at a higher risk of developing physical fatigue. Recent studies have shown that construction workers are also often exposed ...
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    Examining the Barriers to the Adoption of IoT-Based Technologies in Green Buildings 

    Source: Journal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 003:;page 04024211-1
    Author(s): Ali Rahimian; Rana Rabnawaz Ahmed; Abdulwahed Fazeli; Ehsan Aghdam; Atul Kumar Singh; Mahdi Naji; Saeed Reza Mohandes; Maxwell Fordjour Antwi-Afari; Tarek Zayed
    Publisher: American Society of Civil Engineers
    Abstract: Although the adoption of Internet of Things (IoTs) for green buildings (GBs) has attracted significant attention from researchers and practitioners in the construction sector, few studies have investigated the barriers to ...
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    Identification and Classification of Physical Fatigue in Construction Workers Using Linear and Nonlinear Heart Rate Variability Measurements 

    Source: Journal of Construction Engineering and Management:;2023:;Volume ( 149 ):;issue: 007:;page 04023057-1
    Author(s): Shahnawaz Anwer; Heng Li; Waleed Umer; Maxwell Fordjour Antwi-Afari; Imran Mehmood; Yantao Yu; Carl Haas; Arnold Yu Lok Wong
    Publisher: ASCE
    Abstract: Several studies have analyzed heart rate variability (HRV) using nonlinear methods, such as approximate entropy, the largest Lyapunov exponent, and correlation dimension in patients with cardiovascular disorders. However, ...
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