Comparative Analysis of Deep-Learning Approaches for Automatic Recognition of Awkward Postures in Construction Environments through Wrist-Worn Biosensors

dc.contributor.author	Heravi, Moein Younesi
dc.contributor.author	Jang, Youjin
dc.contributor.author	Chauhan, Hardik
dc.date.accessioned	2026-08-20T21:33:28Z
dc.date.available	2026-08-20T21:33:28Z
dc.date.copyright	2025/06/05
dc.date.issued	2025
dc.identifier.other	JCEMD4.COENG-15888.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4314645
dc.description.abstract	AbstractConstruction 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 ...
dc.publisher	American Society of Civil Engineers
dc.title	Comparative Analysis of Deep-Learning Approaches for Automatic Recognition of Awkward Postures in Construction Environments through Wrist-Worn Biosensors
dc.type	Journal Article
dc.journal.volume	151
dc.journal.issue	8
dc.journal.title	Journal of Construction Engineering and Management
dc.identifier.doi	10.1061/JCEMD4.COENG-15888
dc.journal.fristpage	04025108-1
dc.journal.lastpage	04025108-16
dc.page	16
dc.tree	Journal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 008
dc.contenttype	Fulltext