TY - JOUR
T1 - Posture-related data collection methods for construction workers
T2 - A review
AU - Yu, Yantao
AU - Umer, Waleed
AU - Yang, Xincong
AU - Antwi-Afari, Maxwell Fordjour
N1 - Funding Information:
The authors acknowledge the support of the Research Grants Council of Hong Kong [ PolyU 15210720 , PolyU 152047/19E ] and the Innovation and Technology Commission of Hong Kong [ ITP/020/18LP ].
Publisher Copyright:
© 2020 Elsevier B.V.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/4
Y1 - 2021/4
N2 - Construction workers' posture-related data is closely connected with their safety, health, and productivity performance. The importance of posture-related data has drawn the attention of researchers in construction management and other fields. Accordingly, many data collection methods have been developed and applied to collect posture-related data. Despite the importance of workers' posture-related data, there lacks a review of previous data collection methods in the construction industry. This paper fills the research gap by reviewing previous methods to collect posture-related data for construction workers via 1) summarizing working principles and applications of posture-related data collection in construction management, which demonstrates the extensive use of motion sensors and Red-Green-Blue (RGB) cameras in posture-related data collection, 2) comparing the above methods based on data quality and feasibility on construction sites, which reveals the reason why motion sensors and RGB cameras have been prevalent in previous studies, 3) revealing research gaps of posture-related data collection tools and applications, and providing possible future research directions.
AB - Construction workers' posture-related data is closely connected with their safety, health, and productivity performance. The importance of posture-related data has drawn the attention of researchers in construction management and other fields. Accordingly, many data collection methods have been developed and applied to collect posture-related data. Despite the importance of workers' posture-related data, there lacks a review of previous data collection methods in the construction industry. This paper fills the research gap by reviewing previous methods to collect posture-related data for construction workers via 1) summarizing working principles and applications of posture-related data collection in construction management, which demonstrates the extensive use of motion sensors and Red-Green-Blue (RGB) cameras in posture-related data collection, 2) comparing the above methods based on data quality and feasibility on construction sites, which reveals the reason why motion sensors and RGB cameras have been prevalent in previous studies, 3) revealing research gaps of posture-related data collection tools and applications, and providing possible future research directions.
KW - Behavior-based safety (BBS)
KW - Computer vision
KW - Construction worker
KW - Deep learning
KW - Motion sensor
KW - Occupational safety and health (OSH)
KW - Pose estimation
UR - http://www.scopus.com/inward/record.url?scp=85099630465&partnerID=8YFLogxK
U2 - 10.1016/j.autcon.2020.103538
DO - 10.1016/j.autcon.2020.103538
M3 - Review article
AN - SCOPUS:85099630465
SN - 0926-5805
VL - 124
JO - Automation in Construction
JF - Automation in Construction
M1 - 103538
ER -