Abstracts – Browse Results
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Brosque, C, Skeie, G and Fischer, M (2021) Comparative Analysis of Manual and Robotic Concrete Drilling for Installation Hangers. Journal of Construction Engineering and Management, 147(03).
BuHamdan, S, Duncheva, T and Alwisy, A (2021) Developing a BIM and Simulation-Based Hazard Assessment and Visualization Framework for CLT Construction Design. Journal of Construction Engineering and Management, 147(03).
Cherkos, F D and Jha, K N (2021) Drivers of Road Sector Public-Private Partnership Adoption in New and Inexperienced Markets. Journal of Construction Engineering and Management, 147(03).
Dias Barkokebas, R and Li, X (2021) Use of Virtual Reality to Assess the Ergonomic Risk of Industrialized Construction Tasks. Journal of Construction Engineering and Management, 147(03).
El Sayed, A Y, Darwish, M and Nassar, K (2021) Design and Constructability of Novel Extendable Arched Steel Truss Falsework. Journal of Construction Engineering and Management, 147(03).
Hamledari, H, Sajedi, S, McCabe, B and Fischer, M (2021) Automation of Inspection Mission Planning Using 4D BIMs and in Support of Unmanned Aerial Vehicle–Based Data Collection. Journal of Construction Engineering and Management, 147(03).
Kar, S and Jha, K N (2021) Investigation into Lead Time of Construction Materials and Influencing Factors. Journal of Construction Engineering and Management, 147(03).
Katsuragawa, C M, Lucko, G, Isaac, S and Su, Y (2021) Fuzzy Linear and Repetitive Scheduling for Construction Projects. Journal of Construction Engineering and Management, 147(03).
Kim, K and Cho, Y K (2021) Automatic Recognition of Workers’ Motions in Highway Construction by Using Motion Sensors and Long Short-Term Memory Networks. Journal of Construction Engineering and Management, 147(03).
- Type: Journal Article
- Keywords: Construction worker; Motion recognition; Monitoring; Deep learning; Long short-term memory;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002001
- Abstract:
Monitoring and understanding construction workers’ behavior and working conditions are essential to achieve success in construction projects. The dynamic nature of construction sites has heightened the awareness of the need for improved monitoring of individual workers on sites. Although several studies indicated promising results in automated motion and activity recognition using wearable motion sensors, their technical and practical feasibility was not properly validated at actual job sites. Motion recognition models have to be evaluated in actual conditions because the motion sensor data collected in controlled conditions, and actual conditions can have different characteristics. This study proposes Long Short-Term Memory (LSTM) networks for recognizing construction workers’ motions. The LSTM networks were validated through case studies in one bridge construction site and two road pavement sites. The LSTM networks indicated classification accuracies of 97.6%, 95.93%, and 97.36% from three different field test sites, respectively. Through the case studies, the technical and practical feasibility of the LSTM networks was properly investigated. With LSTM networks, individual workers’ behavior and working conditions are expected to be automatically monitored and managed without excessive manual observation.
Liu, Y, Jarvamardi, A, Zhang, Y, Liu, M, Hsiang, S M, Yang, S, Yu, X and Jiang, Z (2021) Comparative Study on Perception of Causes for Construction Task Delay in China and the United States. Journal of Construction Engineering and Management, 147(03).
Ma, G, Jia, J, Ding, J, Wu, M and Wang, D (2021) Examining the Impact of Social Media Use on Project Management Performance: Evidence from Construction Projects in China. Journal of Construction Engineering and Management, 147(03).
Mahdavian, A, Shojaei, A, Salem, M, Yuan, J S and Oloufa, A A (2021) Data-Driven Predictive Modeling of Highway Construction Cost Items. Journal of Construction Engineering and Management, 147(03).
O’Connor, J T, Shrestha, B K, Winkler, M and Ouk Choi, J (2021) Relationship between Commissioning and Start-Up Success Factors Achievement and Performance in Capital Projects. Journal of Construction Engineering and Management, 147(03).
Raymond, A J, Kendall, A, DeJong, J T, Kavazanjian, E, Woolley, M A and Martin, K K (2021) Life Cycle Sustainability Assessment of Fugitive Dust Control Methods. Journal of Construction Engineering and Management, 147(03).
Shirowzhan, S, Sepasgozar, S M E and Trinder, J (2021) Developing Metrics for Quantifying Buildings’ 3D Compactness and Visualizing Point Cloud Data on a Web-Based App and Dashboard. Journal of Construction Engineering and Management, 147(03).
Yoon, S, Weidner, T and Hastak, M (2021) Total-Package-Prioritization Mitigation Strategy for Deferred Maintenance of a Campus-Sized Institution. Journal of Construction Engineering and Management, 147(03).
Zhang, S, Jiang, P, Zhang, Z and Wang, C (2021) WebGIS-Based Collaborative Construction Quality Control of RCC Gravity Dam Using Sensing Devices. Journal of Construction Engineering and Management, 147(03).
Zuniga-Garcia, N, Machemehl, R B, Khwaja, N A, Pruner, K D and Fu, M (2021) Estimation of Road User Costs for Work Zones in Data-Limited or Time-Constrained Environments. Journal of Construction Engineering and Management, 147(03).