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Aliasgari, R, Fan, C, Li, X, Golabchi, A and Hamzeh, F (2024) MOCAP and ai-based automated physical demand analysis for workplace safety. Journal of Construction Engineering and Management, 150(07).
Chae, J, Hwang, S and Kang, Y (2024) Measuring habituation to auditory warnings using behavioral and physiological data. Journal of Construction Engineering and Management, 150(07).
Chen, H and Chan, I Y S (2024) Effects of automation and transparency on human psychophysiological states and perceived system performance in construction safety automation: An electroencephalography experiment. Journal of Construction Engineering and Management, 150(07).
Dahalan, N H, Rahman, R A, Hassan, S H and Ahmad, S W (2024) Public assessment for environmental management plan implementation: Comparative study of performance indicators of road and highway construction projects. Journal of Construction Engineering and Management, 150(07).
Deep, S, Sonkar, N, Yadav, P, Vishnoi, S, Bhoola, V and Kumar, A (2024) Factors influencing the mental health of white-collar construction workers in developing economies: Analytical study during the COVID-19 pandemic in India. Journal of Construction Engineering and Management, 150(07).
Deng, S, Ni, P, Zhu, H, Cai, Y and Pan, Y (2024) Artificial cognition to predict and explain the potential unsafe behaviors of construction workers. Journal of Construction Engineering and Management, 150(07).
Eliwa, H K, Jelodar, M B, Poshdar, M and Zavvari, A (2024) Organizational infrastructure and information and communication technology infrastructure alignment in construction organizations. Journal of Construction Engineering and Management, 150(07).
Flores, M and Mourgues, C (2024) Impact of using a formalized methodology for conflict detection based on 4D-BIM. Journal of Construction Engineering and Management, 150(07).
Huang, H, Hu, H, Xu, F and Zhang, Z (2024) Kinesiology-inspired assessment of intrusion risk based on human motion features. Journal of Construction Engineering and Management, 150(07).
- Type: Journal Article
- Keywords: construction safety; ex-ante risk assessment; human motion feature; intrusion behavior; skeleton detection
- ISBN/ISSN: 0733-9364
- URL: http://doi.org/10.1061/JCEMD4.COENG-13638
- Abstract:
Intrusion behavior in hazardous areas is one of the major causes of construction safety accidents including falls from height and strikes by objects. Implementing automatic and preassessment of intrusions to enhance safety performance is of great importance in construction areas. Traditional behavioral safety management mainly relies on manual observation, which makes it difficult to accurately identify detailed changes in behavioral posture, while the results of risk analysis are susceptible to bias due to subjective factors. The emergence of artificial intelligence techniques and computer vision has provided new solutions for human behavior detection in recent years. Accurate vision-based skeleton extraction helps capture detailed behavioral information. Current studies generally focus on intrusion after the occurrence and rarely select metrics considering complex human motion features. It is difficult to accurately assess the potential intrusion risk, resulting in inefficient ex-ante safety management outcomes. This paper presents a novel intrusion assessment approach by integrating human kinematics to extract risk indicators and apply objective assessment methods for risk quantification. An indoor experiment with control groups was conducted by employing skeleton detection technology with safety knowledge to demonstrate its feasibility and effectiveness. The risk levels of the different activities were compared through a control group experimental analysis. The results show that a satisfying accuracy of intrusion assessment can be achieved for different workers. Appropriate warning and intervention methods can be implemented to mitigate the occurrence or reduce the severity of intrusions, thus reducing safety incidents on construction sites.
King Lewis, A and Shan, Y (2024) Persistence of women in the construction industry. Journal of Construction Engineering and Management, 150(07).
Lei, T, Seo, J, Liang, K, Xu, J, Li, H, Zhou, Y, Khan, M and Heung, K H (2024) Lightweight active soft back exosuit for construction workers in lifting tasks. Journal of Construction Engineering and Management, 150(07).
Li, C Z, Wen, S, Yi, W, Wu, H and Tam, V W Y (2024) Offsite construction supply chain challenges: An integrated overview. Journal of Construction Engineering and Management, 150(07).
Liu, C, González, V A, Lee, G, Cabrera-Guerrero, G, Zou, Y and Davies, R (2024) Integrating the last planner system and immersive virtual reality: Exploring the social mechanisms produced by using LPS in projects. Journal of Construction Engineering and Management, 150(07).
Ma, Z, Liu, W, Li, C, Sang, Y, Zhang, Y, Li, G and Xu, Y (2024) Research on energy-saving control strategy of loader based on intelligent identification of working stages. Journal of Construction Engineering and Management, 150(07).
Naji, K K, Gunduz, M and Mansour, M M (2024) Development of an integrated hybrid risk assessment system for construction disputes during the preconstruction phase using the Delphi method. Journal of Construction Engineering and Management, 150(07).
Qin, L, He, Q, Fu, X, Wang, Y and Wang, G (2024) Peer effects on corporate social responsibility engagement of Chinese construction firms through board interlocking ties. Journal of Construction Engineering and Management, 150(07).
Shrestha, S, Shan, Y and Goodrum, P M (2024) Identification of best practices in project bundling for state dots using semistructured interviews. Journal of Construction Engineering and Management, 150(07).
Song, S H, Choi, J O and Cho, H (2024) Transportation-induced impact on a prefinished volumetric modular house using trailer bogie: Case study. Journal of Construction Engineering and Management, 150(07).
Tan, Y, Deng, T, Zhou, J and Zhou, Z (2024) Lidar-based automatic pavement distress detection and management using deep learning and BIM. Journal of Construction Engineering and Management, 150(07).
Tran, H, Robert, D, Gunarathna, P and Setunge, S (2024) Estimating cost of bridge closure for bridge network rehabilitation priorities. Journal of Construction Engineering and Management, 150(07).
Wei, F, Hwang, B G, Zainal, N S B and Zhu, H (2024) Trust, team effectiveness, and strategies: A comparative study between virtual and face-to-face teams. Journal of Construction Engineering and Management, 150(07).
Wu, J, Ye, Y and Du, J (2024) Autonomous drones in urban navigation: Autoencoder learning fusion for aerodynamics. Journal of Construction Engineering and Management, 150(07).
Xia, X, Xiang, P, Khanmohammadi, S, Gao, T and Arashpour, M (2024) Predicting safety accident costs in construction projects using ensemble data-driven models. Journal of Construction Engineering and Management, 150(07).
Xiang, Q, Liu, Y, Goh, Y M, Ye, G and Safiena, S (2024) Investigating the impact of hazard perception failure on construction workers' unsafe behavior: An eye-tracking and thinking-aloud approach. Journal of Construction Engineering and Management, 150(07).
Yan, D, Wang, C C and Sunindijo, R Y (2024) Framework for promoting women's career development across career stages in the construction industry. Journal of Construction Engineering and Management, 150(07).