An experimental study of real-time identification of construction workers' unsafe behaviors-Reference-Cited by-同舟云学术

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An experimental study of real-time identification of construction workers' unsafe behaviors

Published:2017-10 Issue: Volume:82 Page:193-206
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Yu Yantao,Guo Hongling,Ding Qinghua,Li Heng,Skitmore Martin

Funder

National Natural Science Foundation of China

Tsinghua-Glodon BIM Research Center

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference42 articles.

1. Simulating the behavior of trade crews in construction using agents and building information modeling;Ben-Alon;Autom. Constr.,2017

2. Automated task-level activity analysis through fusion of real time location sensors and worker's thoracic posture data;Cheng;Autom. Constr.,2013

3. Behavior-based safety on construction sites: a case study;Choudhry;Accid. Anal. Prev.,2014

4. Behavior recognition via sparse spatio-temporal features;Dollár,2005

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1. Clarifying Unsafe Behaviors of Construction Workers through a Complex Network of Unsafe Behavior Chains;Journal of Construction Engineering and Management;2024-11

2. Vision-Based Detection of Unsafe Worker Guardrail Climbing Based on Posture and Instance Segmentation Data Fusion;Journal of Construction Engineering and Management;2024-11

3. Automatic repetitive action counting for construction worker ergonomic assessment;Automation in Construction;2024-11

4. Smart Techniques Promoting Sustainability in Construction Engineering and Management;Engineering;2024-09

5. Data-driven ergonomic assessment of construction workers;Automation in Construction;2024-09

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