wang-automaticscaffolding-2021.pdf (5.9 MB)
Automatic scaffolding workface assessment for activity analysis through machine learning
journal contribution
posted on 2021-01-01, 00:00 authored by W Ying, W Shou, Jun WangJun Wang, W Shi, Y Sun, D Ji, H Gai, X Wang, M ChenScaffolding serves as one construction trade with high importance. However, scaffolding suffers from low productivity and high cost in Australia. Activity Analysis is a continuous procedure of assessing and improving the amount of time that craft workers spend on one single construction trade, which is a functional method for monitoring onsite operation and analyzing conditions causing delays or productivity decline. Workface assessment is an initial step for activity analysis to manually record the time that workers spend on each activity category. This paper proposes a method of automatic scaffolding workface assessment using a 2D video camera to capture scaffolding activities and the model of key joints and skeleton extraction, as well as machine learning classifiers, were used for activity classification. Additionally, a case study was conducted and showed that the proposed method is a feasible and practical way for automatic scaffolding workface assessment.
History
Journal
Applied sciencesVolume
11Issue
9Article number
4143Pagination
1 - 23Publisher
MDPI AGLocation
Basel, SwitzerlandPublisher DOI
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eISSN
2076-3417Language
engPublication classification
C1 Refereed article in a scholarly journalUsage metrics
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No categories selectedKeywords
Science & TechnologyPhysical SciencesTechnologyChemistry, MultidisciplinaryEngineering, MultidisciplinaryMaterials Science, MultidisciplinaryPhysics, AppliedChemistryEngineeringMaterials SciencePhysicsscaffoldingactivity analysisworkface assessmentvideo cameramachine learningskeleton extractionPOSTURE ANALYSISCONSTRUCTIONINTEGRATIONTRANSPORTSPACEBIM
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