A synthetic data-enhanced method for automated 3D pose recognition of construction workers.

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Title: A synthetic data-enhanced method for automated 3D pose recognition of construction workers.
Authors: Fu, Yonglin1, u3009531@connect.hku.hk, Lu, Weisheng1, wilsonlu@hku.hk, Dong, Zhiming1, zmdong@connect.hku.hk, Fang, Yihai2, Yihai.Fang@monash.edu
Source: Expert Systems with Applications; Dec2025, Vol. 294, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 187995332
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A synthetic data-enhanced method for automated 3D pose recognition of construction workers.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187995332
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.eswa.2025.128768
    Languages:
      – Code: eng
        Text: English
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        StartPage: N.PAG
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      – TitleFull: A synthetic data-enhanced method for automated 3D pose recognition of construction workers.
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            NameFull: Fu, Yonglin
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            NameFull: Lu, Weisheng
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            NameFull: Dong, Zhiming
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              Text: Dec2025
              Type: published
              Y: 2025
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              Value: 294
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            – TitleFull: Expert Systems with Applications
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