Dynamic Fall Risk Assessment Framework for Construction Workers Based on Dynamic Bayesian Network and Computer Vision-Reference-Cited by-同舟云学术

Dynamic Fall Risk Assessment Framework for Construction Workers Based on Dynamic Bayesian Network and Computer Vision

Published:2021-12 Issue:12 Volume:147 Page:
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Piao Yanmei¹,Xu Wenpei²,Wang Ting-Kwei³^ORCID,Chen Jieh-Haur⁴^ORCID

Affiliation:

1. Graduate Student, School of Management Science and Real Estate, Chongqing Univ., Chongqing 400045, China.

2. Graduate Student, School of Management Science and Real Estate, Chongqing Univ., Chongqing 400045, China; Industry and Intelligence Center, SIPPR Engineering Group, Zhengzhou 450007, China.

3. Associate Professor, Dept. of Civil Engineering, National Kaohsiung Univ. of Science and Technology, Kaohsiung 80778, Taiwan (corresponding author). ORCID: .

4. Distinguished Professor, Dept. of Civil Engineering, National Central Univ., Taoyuan 32001, Taiwan. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CO.1943-7862.0002200

Reference73 articles.

1. Using Fuzzy Failure Mode Effect Analysis to Model Cave-In Accidents

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5. Real-time reliability evaluation methodology based on dynamic Bayesian networks: A case study of a subsea pipe ram BOP system

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