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contributor authorHeravi, Moein Younesi
contributor authorJang, Youjin
contributor authorChauhan, Hardik
date accessioned2026-08-20T21:33:28Z
date available2026-08-20T21:33:28Z
date copyright2025/06/05
date issued2025
identifier otherJCEMD4.COENG-15888.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314645
description abstractAbstractConstruction workers frequently face the risk of adopting awkward work postures, which can lead to work-related musculoskeletal disorders. Many existing solutions using wearable sensors suffer from intrusiveness and the need for multiple sensor ...
publisherAmerican Society of Civil Engineers
titleComparative Analysis of Deep-Learning Approaches for Automatic Recognition of Awkward Postures in Construction Environments through Wrist-Worn Biosensors
typeJournal Article
journal volume151
journal issue8
journal titleJournal of Construction Engineering and Management
identifier doi10.1061/JCEMD4.COENG-15888
journal fristpage04025108-1
journal lastpage04025108-16
page16
treeJournal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 008
contenttypeFulltext


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