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Bamana, F, Lehoux, N and Cloutier, C (2019) Simulation of a Construction Project: Assessing Impact of Just-in-Time and Lean Principles. Journal of Construction Engineering and Management, 145(05).
Cai, J, Li, S and Cai, H (2019) Empirical Analysis of Capital Structure Determinants in Infrastructure Projects under Public–Private Partnerships. Journal of Construction Engineering and Management, 145(05).
Ercan, T (2019) New Three-Part Model of Innovation Activity in Construction Companies. Journal of Construction Engineering and Management, 145(05).
Firouzi, A and Vahdatmanesh, M (2019) Applicability of Financial Derivatives for Hedging Material Price Risk in Highway Construction. Journal of Construction Engineering and Management, 145(05).
Hussain, S, FangWei, Z and Ali, Z (2019) Examining Influence of Construction Projects’ Quality Factors on Client Satisfaction Using Partial Least Squares Structural Equation Modeling. Journal of Construction Engineering and Management, 145(05).
Lee, J, Park, M, Lee, H and Hyun, H (2019) Classification of Modular Building Construction Projects Based on Schedule-Driven Approach. Journal of Construction Engineering and Management, 145(05).
Lestari, R I, Guo, B H W and Goh, Y M (2019) Causes, Solutions, and Adoption Barriers of Falls from Roofs in the Singapore Construction Industry. Journal of Construction Engineering and Management, 145(05).
Lingard, H, Pirzadeh, P and Oswald, D (2019) Talking Safety: Health and Safety Communication and Safety Climate in Subcontracted Construction Workgroups. Journal of Construction Engineering and Management, 145(05).
Liu, C, Ji, W, AbouRizk, S M and Siu, M F (2019) Equipment Logistics Performance Measurement Using Data-Driven Social Network Analysis. Journal of Construction Engineering and Management, 145(05).
Niu, Y, Anumba, C and Lu, W (2019) Taxonomy and Deployment Framework for Emerging Pervasive Technologies in Construction Projects. Journal of Construction Engineering and Management, 145(05).
Solheim-Kile, E and Wald, A (2019) Extending the Transactional View on Public–Private Partnership Projects: Role of Relational and Motivational Aspects in Goal Alignment. Journal of Construction Engineering and Management, 145(05).
Wong, F K, Chiang, Y, Abidoye, F A and Liang, S (2019) Interrelation between Human Factor–Related Accidents and Work Patterns in Construction Industry. Journal of Construction Engineering and Management, 145(05).
Yazdani, M, Abdi, M R, Kumar, N, Keshavarz-Ghorabaee, M and Chan, F T S (2019) Improved Decision Model for Evaluating Risks in Construction Projects. Journal of Construction Engineering and Management, 145(05).
Yu, Y, Yang, X, Li, H, Luo, X, Guo, H and Fang, Q (2019) Joint-Level Vision-Based Ergonomic Assessment Tool for Construction Workers. Journal of Construction Engineering and Management, 145(05).
- Type: Journal Article
- Keywords: Construction; Worker; Ergonomic risks; Computer vision; Deep learning; Occupational safety and health; Three-dimensional (3D) posture estimation;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001647
- Abstract:
Construction workers are commonly subjected to ergonomic risks. Accurate ergonomic assessment is needed to reduce ergonomic risks. However, the diverse and dynamic nature of construction sites makes it difficult to collect workers posture data for ergonomic assessment without intrusiveness. Therefore, this paper proposed a joint-level vision-based ergonomic assessment tool for construction workers (JVEC) to provide automatic and detailed ergonomic assessments of construction workers based on construction videos. JVEC extracts construction workers’ skeleton data from videos with advanced deep learning methods, then Rapid Entire Body Assessment (REBA) is used to conduct the joint-level ergonomic assessment. This approach was demonstrated and tested with a laboratory experiment and an on-site experiment, which indicated the accuracy of the ergonomic risk scores (70%–96%) and its feasibility for use on construction sites. This research contributes to an accurate and nonintrusive ergonomic assessment method for construction workers. In addition, this research for the first time introduces two-dimensional (2D) video–based three-dimensional (3D) pose estimation algorithms to the construction industry, which may benefit research on construction health, safety, and productivity by providing long-term and accurate behavior data.
Zhao, Z, Guo, X and Chang, R (2019) Market Concentration and Competitive Intensity of the International Engineering Contracting Industry. Journal of Construction Engineering and Management, 145(05).